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Job Description:
We are seeking an experienced Data Science Architect to design, build, and scale advanced data science and machine learning solutions. This role will lead the architecture of data platforms, guide data science teams, and translate business needs into robust, scalable analytical systems.
Key Responsibilities:
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Design and oversee end-to-end data science and machine learning architectures
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Build scalable data pipelines, models, and analytics platforms
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Collaborate with business stakeholders to define data-driven solutions
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Lead and mentor data scientists, engineers, and analysts
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Ensure data quality, security, governance, and compliance
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Evaluate and implement modern tools, frameworks, and cloud technologies
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Drive best practices in model deployment, MLOps, and performance optimization
Required Skills & Qualifications:
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Strong expertise in data science, machine learning, and statistical modeling
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Proficiency in Python, R, SQL, and big data technologies
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Experience with cloud platforms (AWS, Azure, or GCP)
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Knowledge of data engineering, ETL pipelines, and MLOps
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Strong system design and architectural experience
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Excellent communication and leadership skills
Preferred Qualifications:
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Experience with AI/ML production systems
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Background in large-scale enterprise or high-growth environments
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Familiarity with deep learning, NLP, or advanced analytics
Why Join Us:
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Competitive salary up to $200K
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Opportunity to lead high-impact data initiatives
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Work with cutting-edge technologies
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Collaborative and innovative work culture
Job Features
| Job Category | Data Science |
Job Description:We are seeking an experienced Data Science Architect to design, build, and scale advanced data science and machine learning solutions. This role will lead the architecture of data plat...
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services to do the work you love in an inclusive, collaborative, and caring community, where you can be empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
- Develop solutions spanning multiple subject areas, from NLP to Image and Video.
- Maintain awareness of state-of-the-art machine learning and techniques, methods and platforms, including commercial and open source.
- Implement, configure and test machine learning and deep learning libraries and platforms (e.g. fast.ai, TensorFlow, Keras, XGBoost, LightGBM).
- Test solutions on AWS using services such as SageMaker, EC2, and Snowball Edge.
- Write blog posts and presentations that clearly communicate complex machine learning concepts to both technical and non-technical audiences.
- Contribute to visually-appealing, web-enabled prototype applications that illustrate relevant machine learning capabilities.
- A.A. and 13 years of in-depth relevant experience OR B.S. and 11 years of in-depth relevant experience OR M.S. and 9 years of in-depth relevant experience OR Phd and 7 years of in-depth relevant experience
- An active TS/SCI with polygraph clearance is required to start
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Job Features
| Job Category | Cyber Security, Cybersecurity Engineer |
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purp...
Overview:
A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.
Key Responsibilities:
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Analyze datasets and algorithms for bias, fairness, and representativeness.
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Design ethical frameworks for AI and data usage.
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Work with data scientists, engineers, and product teams to implement responsible AI practices.
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Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).
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Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.
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Educate stakeholders on data ethics principles.
Required Skills:
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Strong foundation in data science and machine learning.
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Understanding of ethical theory, philosophy, or AI ethics.
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Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).
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Ability to communicate complex ideas to non-technical stakeholders.
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Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).
Job Features
| Job Category | Data Science |
Overview: A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, an...
Flatfile is revolutionizing enterprise data handling through AI automation. We're building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data problems for the world's largest organizations.
What is an "AI Engineer" at Flatfile
You’ll work at the intersection of conventional software engineering and machine learning, focusing on applying AI to solve real-world problems rather than fundamental ML research.
As James Brady from Elicit notes: "If you're a software engineer who relishes the more difficult parts of backend code—like concurrency, fault-tolerance, and distributed systems—you could be a great AI engineer."
What you'll do
You'll own critical parts of our AI-powered data platform:
- Design and implement robust backend services that integrate with various AI models for data understanding and transformation
- Build fault-tolerant systems that can handle the high latency and variance inherent in working with large language models
- Create streaming architectures for real-time AI processing of customer data
- Develop evaluation frameworks to measure and improve our AI features' accuracy and reliability
- Work closely with our product team to prototype and ship new AI capabilities
- Help learn and establish best practices for AI development at Flatfile
- You’ll also get to write some good old-fashioned code and ship more traditional software features too 🙂
- Oh, and we all fix bugs
Our tech stack
In this role, you’ll use LangGraph, various LLMs and open source models, React, Typescript, our in-house design system Baseline, Node (Nest.js), Prisma, Postgres, Git, Flatfile’s homegrown data engine, and utilize AI for performance gains on a daily basis.
What you bring to the role
Essential
- Experience building production backend systems
- Strong computer science fundamentals, especially in distributed systems
- Experience handling asynchronous workflows and building resilient services
- Genuine enthusiasm for AI technology and its practical applications
- Track record of shipping customer-facing features
Great to have
- Experience working with LLMs in production environments
- Background in data processing or ETL systems
- Familiarity with AI model deployment and optimization
- Experience with streaming architectures
- Open source contributions to AI/ML tools
What you'll find at Flatfile
- A chance to shape the future of enterprise data automation
- A highly collaborative, fast-paced engineering culture
- Ownership of significant technical challenges and no PM overlords
- The opportunity to work with cutting-edge AI technology
- Competitive compensation and equity
- A team of humble and audacious builders who take pride in their work
In accordance with applicable law, the following represents Flatfile's reasonable estimate of the range of possible compensation for this role if hired in Colorado.
Reasons you’ll love working here
Comprehensive health, vision, and dental insurance for you and your dependents
401k match. 100% matching for up to 3% and a 50% match for the next 2%
Equity options for all full-time employees
100% remote work environment
️ Flexible paid time off, with a recommended minimum of 3 weeks
$10,000 home office makeover with personal access to an interior designer
$150 per month toward cell phone and wifi
The best tools to do your work, including a Mac laptop and top-of-the-line hardware.
24/7 access to a Health Advocate & free annual membership to One Medical
12 weeks of paid family leave
And much more!
Flatfile believes a diverse and inclusive environment is key to building a great company. As such, Flatfile is proud to be an Equal Opportunity Employer. We are committed to creating an environment that is welcoming for people from all walks of life; we do not discriminate based on race, color, gender identity, religion, sex, national origin, disability, veteran status, or any other characteristic protected by law. While we have more work to do to advance diversity and inclusion, we are invested in growth that empowers everyone to succeed.
Job Features
| Job Category | AI Engineer |
Flatfile is revolutionizing enterprise data handling through AI automation. We’re building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data pr...
Salary- $180K/Yr - $210K/Yr
United States
Posted 2 months ago
About the job
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Quality data is fundamental to Airbnb's success. As a rapidly growing company, we are preparing for a future of tremendous growth and transformation. We are rebuilding our Data Engineering practice to enable the company's success by building a solid data foundation. We are seeking stunning Data Engineers to help us define and realize our vision for trustworthy data across the company. This is a unique opportunity to join Data Engineering for a strong, but high-potential, company early in its lifecycle.
Like all teams at Airbnb, we value and promote the diversity of our workforce, our guests, our hosts, our marketplace platform, and the world. Simply put, you belong at Airbnb.
The Difference You Will Make:
We need to ensure every area of the business has trustworthy data to fuel insight and innovation. Understanding the business need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal.
At the same time, the technology used to create great data is continually evolving. We are moving to a reality where both batch & stream processing are leveraged to meet the latency requirements for the business. The Data Engineering paved path is still taking shape, and we want to collaboratively develop this to support the entire company. We need data engineers who are passionate not only about the data, but also about improving the technology we leverage for Data Engineering.
We are looking for talented Data Engineers who are excited about redefining what it means to do Data Engineering. Data Engineering is part of our Engineering org as we believe great Data Engineering depends on solid Software Engineering fundamentals. However, we also recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you.
A Typical Day:
- Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Airbnb business growth and improve the product experience.
- Build scalable Spark data pipelines leveraging Airflow scheduler/executor framework
- Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
- Understand and influence logging to support our data flow, architecting logging best practices where needed
- Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
- Improve data quality by using & improving internal tools to automatically detect issues
- 2-4 years of relevant industry experience with a Bachelor's degree, preferably in CS, or a Master's degree in lieu of industry experience
- Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
- Experience designing and deploying high performance systems with reliable monitoring and logging practices
- Working knowledge of relational databases and query authoring (SQL).
- Excellent communication skills, both written and verbal
Job Features
| Job Category | Data Science |
About the job Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals ...
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!
Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy?
We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company.
Your responsibilities will also include:
- Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
- Designing experiments to measure the impact of new features on those metrics;
- Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
- Partnering with our machine learning teams for investigations and feature engineering; and
- Becoming an expert in our data analytics pipelines and core metrics
- Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
- 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
- Experience with experimental design, econometrics, and/or causal inference is a plus but not required
- Expert level skills at SQL (experience with dbt is a plus but not required)
- Expertise with Python, R, or a similar data science scripting language
- Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
- Experience with BI tools such as Looker, Tableau, Power BI, or similar
About Afresh
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.
Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.
Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Job Features
| Job Category | Data Science |
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments i...
Salary- $190K/Yr - $220/Yr
Remote
Posted 2 months ago
We are seeking an experienced AI/ML Governance & Security Specialist to design, implement, and manage governance frameworks, security controls, and compliance strategies for AI and Machine Learning systems. The ideal candidate will ensure that AI solutions are secure, ethical, compliant, and aligned with regulatory and organizational standards.
Key Responsibilities
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Develop and enforce AI/ML governance policies, standards, and best practices
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Ensure secure development, deployment, and operation of AI/ML models
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Identify and mitigate security risks related to AI systems, data pipelines, and models
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Implement data privacy, model security, and access control mechanisms
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Monitor AI systems for bias, fairness, explainability, and ethical compliance
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Conduct risk assessments and security audits for AI/ML platforms
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Ensure compliance with regulations such as GDPR, HIPAA, SOC 2, ISO 27001, and AI-related policies
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Collaborate with data scientists, engineers, legal, and compliance teams
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Establish incident response procedures for AI-related security threats
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Document governance frameworks, security controls, and compliance reports
Required Skills & Qualifications
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Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field
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Strong understanding of AI/ML models, pipelines, and data workflows
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Experience with AI security, model risk management, and governance frameworks
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Knowledge of data privacy, encryption, access control, and secure model deployment
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Familiarity with ethical AI principles, bias detection, and explainable AI (XAI)
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Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools
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Understanding of regulatory and compliance requirements for AI systems
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Strong analytical, documentation, and communication skills
Preferred Qualifications
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Certifications in AI, cybersecurity, or governance (CISSP, CISM, AI Governance, ISO 27001)
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Experience with adversarial ML, model monitoring, and AI threat detection
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Knowledge of NIST AI Risk Management Framework or similar standards
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Experience in enterprise or regulated industry environments
Why Join Us?
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Work on cutting-edge AI and ML security initiatives
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Be part of a forward-thinking and innovative team
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Opportunity to shape responsible and secure AI practices
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Competitive salary and growth opportunities
Job Features
| Job Category | AI Engineer, Cyber Security, Cybersecurity Engineer |
We are seeking an experienced AI/ML Governance & Security Specialist to design, implement, and manage governance frameworks, security controls, and compliance strategies for AI and Machine Learnin...
Salary- $90K/yr - $120K/yr
Remote
Posted 2 months ago
You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex
The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.
GO2 Unify is the Java based POA platform for Global Onboarding and Orchestration. GO2 is the platform that looks after all activities required to be done for onboarding a customer across markets, segments and products. When a customer selects an Amex product from a channel (example americanexpress.com), enters the demographic and other information and clicks submit, the application is passed over to GO2
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Extract insights from data using SQL or Python in a in-house or Google Cloud environment. Provide the results in actionable, simple, and impactful formats to business partners.
- Identify and analyze data discrepancies and data quality issues and work to ensure data consistency and integrity.
- Partner with Product to develop insights to enhance their products, including customer behavior/usage studies or product diagnostic analyses which will be used to drive larger team’s decision strategy and project requirements
- Conduct deep dives to understand trends, generate, and present actionable insights. Create, enhance, and maintain monthly reporting for Acquisition Product performance tracking.
- Gather, sanitize, and preprocess extensive datasets from various sources, and perform exploratory data analysis.
- Implement appropriate ML algorithms – regression, classification etc. Experience in Coding, Supervised and Unsupervised
- Develop predictive modeling that will enable the right acquisition trends and customer retention and growing diverse representation.
- Proficiency with ML frameworks and libraries – Tensorflow, scikit etc.
- Develop and maintain dashboards, reports and visualizations to communicate key findings and insights to stakeholders to enable data-driven decision-making.
- Understanding of statistical and experimentation concepts such as distributions, regression, confidence, correlation, significance, P-value, T-tests, etc
- Experience with data visualization tools (Tableau, PowerBI, matplotlib, etc.), with strong ability to communicate complex findings
- Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Engineering or related analytical field
- Proficiency in data manipulation and analysis using SQL, Python, R or the equivalent
- Demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information.
- Experience with SQL, Python, or other scripting languages.
- Experience with Excel, Power BI, or Tableau.
- Collaborate effectively and work closely within a coordinated team environment.
- Excellent written and verbal communication and comprehension skills.
- Quantitative and qualitative analytical skills with the ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
- Able to present results of analysis to non-technical audiences with experience in crafting presentations with effective data visualization.
- Strategic thought leadership and strong critical thinking and analytical skills.
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
Job Features
| Job Category | Data Science |
You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse c...
Overview
As a Penetration Tester you will perform formal and comprehensive penetration testing assessments, including producing full written reports to appropriate standards and within agreed deadlines. In addition, you will support with client pre-engagement activities, including scoping and proposal drafting, as well as researching application and infrastructure vulnerabilities, following responsible disclosure, and sharing such findings within the team.Responsibilities
- Perform formal and comprehensive application, infrastructure and other penetration testing assessments where appropriate and required
- Provide well-written, concise, technical and non-technical reports in English
- Perform vulnerability assessments and provide findings with remediation actions
- Support with various client pre-engagement interactions, including scoping activities and proposal drafting to ensure that client needs are met
- Manage and deliver penetration testing project activities within strict deadlines
- Support the QA process to ensure high quality client reports are delivered in accordance with applicable Service Level Agreement (SLA)
- Any other appropriate job duties in line with the associated skill and experience of the post holder
Skills and experience required
- Proven industry experience in application and infrastructure penetration testing
- Deep knowledge of assessing both Windows and Linux environments, including strong knowledge of Active Directory and wireless technologies
- Ability in preparing and launching social engineering campaigns (both phishing and vishing)
- Strong understanding of OWASP, PTES and other penetration testing methodologies
- Knowledge of how modern web apps are designed, developed and deployed across different platforms
- Ability to program or script in your preferred language
- Relevant degree in Computer Science, Ethical Hacking, Engineering or other relevant subject
- Relevant security qualifications (such as OSCP, CEH, GPEN)
- Good knowledge and understanding of network and OS principles
- Good knowledge of various operating systems
- Good knowledge of virtualization
Nice to have
- Knowledge of assessing cloud and hybrid environments (AWS and Azure)
- Knowledge of assessing mobile applications (iOS/Android)
- Knowledge of assessing hardware and embedded IoT devices
Personal Attributes
- Excellent spoken and written communication skills with strong attention-to-detail and accuracy
- A passion for security and networks
- Analytical and problem-solving skills with a can-do attitude and the ability to think laterally
- Self-motivation with a commitment to continued development
- Ability to work independently and as part of a team
- Influencing and negotiation skills with the ability to build relationships at all levels
- Willingness to learn
Benefits
- 25 days annual holiday plus 8 paid public holidays
- An additional day’s annual holiday for your birthday
- Pension/401k contribution
- Subsidized gym membership
- Frequent team events
- Private Healthcare (individual cover only)
- Learning Allowance Benefit
- Flexible working policy
Company Overview
Target Defense Inc is the US arm of Bulletproof Cyber Ltd and is a trusted provider of innovative cyber security solutions. From CREST-certified penetration testing to professional consultancy services, the Target Defense team help protect businesses of all sizes against the evolving threat landscape. Our cyber security services are the best way to stay one step ahead of the hackers, take control of your infrastructure and protect business-critical data. Please note that as part of the recruitment process a criminal records check will be carried out by an authorised third party.Job Features
| Job Category | Cyber Security, Cybersecurity Engineer |
Overview As a Penetration Tester you will perform formal and comprehensive penetration testing assessments, including producing full written reports to appropriate standards and within agreed deadline...
About Us
Thrive is a rapidly growing technology solutions provider focusing upon Cloud, Cyber Security, Networking, Disaster Recovery and Managed Services. Our corporate culture, engineering talent, customer-centric approach, and focus upon “next generation” services help us stand out amongst our peers. Thrive is on the look-out for individuals who don’t view their weekdays spent at “a job”, but rather look to develop valuable skills that ignite their passion and lead to a CAREER. If you’re attracted to a “work hard, play hard” environment, seeking the guidance, training and experience necessary to build a lucrative career, then welcome to THRIVE!!
Position Overview:
We are seeking a Security Engineer with a strong focus on managing and optimizing Microsoft Sentinel and Defender XDR products. This role will be pivotal in enhancing our cybersecurity framework by leading the integration and utilization of these key security tools. Responsibilities include designing and optimizing SIEM rules for superior threat detection and incident management, deploying SOAR tools for automated security responses, and ensuring robust API security. The engineer will oversee the performance and security posture of our platforms, customize client reports, automate report delivery to platforms like ServiceNow, and meticulously document security processes. Additionally, the role involves analyzing SOC and SIEM data for actionable insights, creating security dashboards and response runbooks, and participating in client meetings as the primary security contact. Staying informed about the latest security trends and techniques is essential. This position is ideal for a detail-oriented individual eager to push the boundaries of cybersecurity and enhance client interactions.
Primary Responsibilities
- Lead the management of Microsoft Sentinel and Defender XDR products, including their integration with existing tools, utilizing them to elevate existing Security Operations
- Design and optimize SIEM (Security Information and Event Management) rules using FortiSIEM to enhance threat detection and streamline incident response activities
- Deploy and manage Endpoint Detection and Response (EDR) solutions, specifically FortiEDR, SentinelOne, and Defender for Endpoint to identify and mitigate endpoint threats effectively
- Design and implement automated security use cases and playbooks to accelerate incident response and remediation
- Assist in overseeing the implementation and management of API security measures, ensuring secure data transmission and compliance with industry-standard API security protocols
- Collaborate with clients to understand their reporting needs and requirements and customize reports accordingly
- Develop, maintain, and automate client-facing reports using our existing security tools. These reports should effectively articulate incident metrics and trends to both technical and non-technical audiences. This role also includes automating the upload of these reports to the ServiceNow client portal
- Create and maintain materials documenting our security processes, procedures, and technologies, along with the generation of automated reports for relevant stakeholders
- Provide expert guidance on alarm tuning and configuration tasks necessary for Security Service deployment to new and existing customers
- Take a proactive role in updating client Security presentations and discuss findings with our clients
- Perform comprehensive analysis of data from our SOC and SIEM to identify patterns, anomalies, and potential threats
- Design and implement client reports, dashboards, and metrics, and manage response runbooks and walkthrough documents
- Stay informed about the latest security events and techniques to enhance our operations and defense strategies
- Other duties as required
- Proven experience with Microsoft Sentinel and Defender XDR products
- Strong background in SIEM rule design and optimization
- Extensive experience in implementing and overseeing Endpoint Detection and Response (EDR) solutions
- Experience with SOAR tools and automated security response implementations
- Excellent communication skills for both technical and non-technical audiences
- Demonstrated understanding of cybersecurity threats and incident response procedures
- Knowledge of risk assessment tools, technologies, and methods
- Expertise in computer networking and security
- Passion for cybersecurity and continuous learning
- Must be able to work effectively in a team environment and collaborate within the team and with other stakeholders
Job Features
| Job Category | Cyber Security, Cybersecurity Engineer |
About Us Thrive is a rapidly growing technology solutions provider focusing upon Cloud, Cyber Security, Networking, Disaster Recovery and Managed Services. Our corporate culture, engineering talent, c...
Salary- $151K/yr – $185K/yr
United States
Posted 2 months ago
Machine Learning
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You'll Do
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
- Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
- Help drive optimization, testing, and tooling to improve quality
- Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
- You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You'll Be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Job Features
| Job Category | Machine Learning |
Machine Learning The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. W...
Salary- $190K/Yr - $220/Yr
Hybrid, Onsite
Posted 2 months ago
Location: Remote
Job Type: Full-time
About the Role:
We are seeking a DevSecOps Engineer to bridge the gap between web development, operations, and security. You will be responsible for developing secure web applications, managing CI/CD pipelines, and implementing robust cloud and network security practices across our infrastructure.
Key Responsibilities:
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Design, develop, and deploy secure, scalable web applications using modern frameworks (e.g., React, Node.js, Django).
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Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, or GitLab CI).
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Integrate automated security testing into the development pipeline (SAST, DAST, SCA).
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Monitor cloud infrastructure (AWS/GCP/Azure) and implement security best practices (IAM, VPCs, security groups, etc.).
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Conduct regular threat modeling, vulnerability assessments, and penetration testing.
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Automate infrastructure using Infrastructure as Code (Terraform, Ansible).
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Collaborate with development and IT teams to ensure DevOps and security alignment.
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Respond to and investigate incidents involving infrastructure or application compromise.
Required Skills & Experience:
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3+ years of experience in DevOps or Site Reliability Engineering.
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2+ years of hands-on web development experience.
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Solid knowledge of network security principles (e.g., firewalls, IDS/IPS, TLS, VPN).
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Experience with Docker and Kubernetes in production environments.
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Familiarity with OWASP Top 10 and secure coding practices.
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Scripting skills in Bash, Python, or similar languages.
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Experience with logging/monitoring tools (ELK stack, Prometheus, Grafana).
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Understanding of authentication protocols (OAuth2, SAML, etc.).
Preferred Qualifications:
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Certifications: OSCP, CEH, or AWS Security Specialty.
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Experience with zero trust security architecture.
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Contributions to open-source DevSecOps or security tools.
Job Features
| Job Category | Cybersecurity Engineer, DevOps |
Location: RemoteJob Type: Full-time About the Role: We are seeking a DevSecOps Engineer to bridge the gap between web development, operations, and security. You will be responsible for developing secu...
Title: Azure Data Engineer
Location: Hybrid
- Python, SQL
- DBT Experience
- Previous retail (Prev Albertsons would be great!)
- Communication is key, speaking to stakeholders
- Communication skills, explain implementation teams
- Work with functionally split within retail analytics side
- Person would be working on hub and spoke model- supply chain and merchandising
- Two domains supply chains and store sites- lead engineers do review to other on team.
GENERAL PURPOSE:
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The Data Engineer III plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Steramsets, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms. |
QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:
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Job Features
| Job Category | Data Analyst, Data Science |
Title: Azure Data Engineer Location: Hybrid Python, SQL DBT Experience Previous retail (Prev Albertsons would be great!) Communication is key, speaking to stakeholders Communication skills, explain im...
Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained.
The Fragiadakis (Data Science) and Combes (Disease to Biology) Labs, are seeking researchers in computational biology, bioinformatics, and data science to tackle current challenges in immunology. As a member of the lab, you will learn the analysis methods, as well as the conceptual and biological background, to analyze -omics datasets such as CyTOF, single-cell sequencing, and spatial transcriptomics. Once comfortable with these methods, under direct supervision, you will perform analyses to contribute to our understanding of immune state in our patient cohorts. You will integrate molecular data with clinical information to understand how the immune system impacts disease outcomes. You will be expected to document your analyses, present your progress and results, and participate in lab meetings.
We currently have several projects examining the relationship between immune state and health outcomes in a variety of UCSF patient cohorts, including infection, autoimmunity, and cancer. Our aim is to better understand how the immune system is wired and responds, to develop better disease diagnosis and treatments. As a member of our labs, you will contribute to the design of new experiments, help maintain our computational infrastructure, and track the flow of samples and information for large-scale studies. This position is jointly offered by Dr. Alexis Combes and Dr. Gabriela Fragiadakis, who both direct CoLab teams that often collaboratively pursue questions of immune state using single-cell methods, providing an environment of wet-lab and computational biologists with whom to work.
While this position requires some proficiency in programming and data analysis, candidates who are fast and eager learners, who can readily adopt new bioinformatics pipelines/workflows that have been developed in the lab and the field at-large and apply them to a series of diverse projects can be successful in this role. An aptitude for collaborative work and organization is required to excel in our environment of diverse researchers. The candidate will receive training in data analysis, as well as develop expertise and intuition in biology. This position is ideal for recent graduates and can serve as a stepping-stone for a graduate program or career in bioinformatics, computational biology, or data science.The final salary and offer components are subject to additional approvals based on UC policy.Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.The salary range for this position is $67,000 - $143,800 (Annual Rate).To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
CoLabs is a new model for research collaborations for the UCSF community. CoLabs centralizes research teams and creates a set of common pipelines and workflows. It recruits and retains world class staff and trainees and develops transformative methods and technologies through engagement with the research community and institutional investments. The CoLabs initiative is comprised of five labs: Biological Imaging Development (BIDC), Data Science (DS), Disease to Biology (D2B), Flow Cytometry, and Genomics. The CoLabs help organize and integrate the UCSF community through common pipelines and data curation and pursue a set of collaborative "CoProjects" that tackle fundamental questions in the biomedical research. CoProject day-to-day operations are managed and run through the CoLabs.
Required Qualifications
- Bachelor's degree in biological science, computational / programming (bioinformatics, computational biology, statistics, computer science, engineering), or related area and / or equivalent experience / training.
- Knowledge in a programming language such as R. Python, or similar programming languages.
- Knowledge in flow/mass cytometry and/or bulk/Single-cell RNAseq
- Basic knowledge of biology
- Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
- Ability to communicate technical information in a clear and concise manner.
- Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills.
Preferred Qualifications
- Basic knowledge of the execution and optimization of biological pipelines.
- Basic knowledge of databases.
- Basic project management skills.
- Basic knowledge of GitHub or equivalent
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Organization
Campus
Job Code and Payroll Title
009403 BIOINFORMATICS PROGR 1
Job Category
Professional (Non-Clinical)
Bargaining Unit
99 - Policy-Covered (No Bargaining Unit)
Employee Class
Career
Job Features
| Job Category | Data Analyst, Data Science |
Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and comple...
Salary- $105.8K/yr - $174.8K/yr
Remote
Posted 2 months ago
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!
Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy?
We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company.
Your responsibilities will also include:
- Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
- Designing experiments to measure the impact of new features on those metrics;
- Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
- Partnering with our machine learning teams for investigations and feature engineering; and
- Becoming an expert in our data analytics pipelines and core metrics
- Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
- 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
- Experience with experimental design, econometrics, and/or causal inference is a plus but not required
- Expert level skills at SQL (experience with dbt is a plus but not required)
- Expertise with Python, R, or a similar data science scripting language
- Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
- Experience with BI tools such as Looker, Tableau, Power BI, or similar
About Afresh
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.
Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.
Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Job Features
| Job Category | Data Science |
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments i...