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Job Overview
We are seeking a Healthcare Data Scientist to develop predictive models and advanced analytics solutions that help improve patient care and reduce healthcare costs. This role focuses on applying machine learning techniques to real-world healthcare data.

Key Responsibilities

• Build predictive models for disease risk, patient readmission, and treatment outcomes

• Analyze large and complex healthcare datasets

• Apply machine learning and statistical techniques to solve healthcare problems

• Collaborate with clinicians and product teams to deploy data solutions

• Communicate insights clearly to non-technical stakeholders

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Data Science, AI, or related field

• Strong Python skills (Scikit-learn, Pandas, NumPy)

• Experience with machine learning algorithms and model evaluation

• Solid understanding of statistics and probability

• Knowledge of healthcare data systems and compliance requirements

Experience Level

• Mid Level (2–5 years)

Job Overview

We are seeking a highly analytical and detail-oriented Quantitative Analyst to develop and implement mathematical models that support financial decision-making. The ideal candidate will leverage advanced statistical techniques and programming skills to analyze large datasets, identify trends, and optimize investment strategies.

Key Responsibilities

• Develop and implement quantitative models for pricing, risk management, and trading strategies
• Analyze large financial datasets to identify patterns and opportunities
• Collaborate with traders, portfolio managers, and risk teams to improve performance
• Backtest models and validate results using historical data
• Monitor market trends and refine models accordingly
• Communicate complex analytical findings to non-technical stakeholders

Required Qualifications

• Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, or Computer Science (PhD preferred)
• Strong knowledge of statistical modeling and financial theory
• Proficiency in programming languages such as Python, R, or C++
• Experience with data analysis and machine learning techniques
• Solid understanding of derivatives, equities, and fixed income markets

Preferred Skills

• Experience with tools like MATLAB or SAS
• Familiarity with risk management frameworks and algorithmic trading
• Strong problem-solving and critical-thinking abilities
• Excellent communication and teamwork skills

Salary Range (USA)

• Typically ranges from $90,000 to $180,000+ per year, depending on experience, location, and firm
• Bonuses and performance incentives are often included

Benefits

• Health, dental, and vision insurance
• Retirement plans (401k)
• Paid time off and flexible working arrangements
• Opportunities for career growth and professional development

We are seeking a skilled and innovative AI Engineer to design, develop, and deploy intelligent systems that simulate human intelligence. The ideal candidate will work on cutting-edge AI solutions such as chatbots, computer vision systems, recommendation engines, and predictive models.

You will collaborate with data scientists, software engineers, and business teams to build scalable AI-driven applications.

 Key Responsibilities

• Develop and implement deep learning and machine learning models

• Work on NLP (Natural Language Processing) and Computer Vision projects

• Design and optimize neural network architectures

• Integrate AI models into production systems and applications

• Perform data preprocessing, feature engineering, and model tuning

• Deploy AI models using cloud platforms and APIs

• Monitor and improve model performance

• Stay updated with the latest advancements in AI research and tools

 Required Skills & Qualifications

• Strong knowledge of Deep Learning and Neural Networks

• Experience with NLP or Computer Vision projects

• Proficiency in Python

• Experience with frameworks like TensorFlow or PyTorch

• Understanding of Machine Learning algorithms

• Knowledge of data preprocessing and model optimization

• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus

• Strong problem-solving and analytical skills

 Educational Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field

 Preferred Qualifications

• Experience in chatbot development or AI-based applications

• Knowledge of MLOps and model deployment

• Experience working with large datasets

• Research or published work in AI (optional but preferred)

 What We Offer

• Competitive salary

• Career growth opportunities

• Work on innovative AI projects

• Collaborative and dynamic work environment

Job Overview

We are looking for a highly skilled AI Engineer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong experience in building intelligent systems, data modeling, and deploying scalable AI applications in production environments.

Key Responsibilities

• Design and develop AI/ML models for real-world business problems

• Build, train, and optimize machine learning algorithms

• Develop deep learning models using TensorFlow / PyTorch

• Deploy AI models into production environments (cloud/on-premise)

• Work with large datasets for preprocessing, cleaning, and feature engineering

• Collaborate with Data Scientists, Data Engineers, and Product Teams

• Implement NLP, Computer Vision, or Predictive Analytics solutions

• Monitor model performance and improve accuracy

• Stay updated with latest AI trends and technologies

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

• Strong programming skills in Python

• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)

• Knowledge of Deep Learning, NLP, or Computer Vision

• Experience with cloud platforms (AWS / Azure / GCP)

• Understanding of APIs and model deployment

• Strong problem-solving and analytical skills

Preferred Skills (Bonus)

• Experience with Generative AI / LLMs

• MLOps and model deployment experience

• Knowledge of Docker & Kubernetes

• Experience with big data tools (Spark, Hadoop)

What We Offer

• Competitive salary

• Career growth opportunities

• Exposure to cutting-edge AI projects

• Flexible working environment

Job Summary

We are looking for an experienced AI & Data Science Manager to lead our artificial intelligence and advanced analytics initiatives. The ideal candidate will manage a team of data scientists and machine learning engineers, oversee AI model development, and drive data-driven decision-making across the organization. This role requires strong technical expertise in AI, along with leadership and strategic planning capabilities.

Key Responsibilities

1. AI Strategy & Leadership

• Define and execute AI and machine learning strategy aligned with business goals

• Identify high-impact AI opportunities across departments

• Collaborate with senior leadership to drive innovation through data

2. Team Management

• Lead, mentor, and manage a team of data scientists, ML engineers, and analysts

• Conduct performance reviews and skill development planning

• Promote a culture of collaboration and continuous learning

3. Model Development & Deployment

• Oversee end-to-end machine learning lifecycle

• Guide development of predictive models, deep learning systems, and AI solutions

• Ensure proper model validation, testing, and deployment

• Monitor model performance and implement optimization strategies

4. Data Governance & Compliance

• Ensure data quality, security, and compliance standards

• Implement best practices for data management and model documentation

5. Stakeholder Communication

• Translate complex AI concepts into business-friendly insights

• Present findings and recommendations to senior management

• Work closely with product, engineering, and business teams

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or related field

• 6+ years of experience in Data Science / AI roles

• 2+ years of leadership or team management experience

• Strong knowledge of machine learning, deep learning, NLP, and AI algorithms

• Proficiency in Python, R, SQL

• Experience with frameworks like TensorFlow, PyTorch, Scikit-learn

• Experience in cloud platforms (AWS, Azure, or GCP)

• Strong problem-solving and strategic thinking skills

• Excellent communication and leadership abilities

Preferred Qualifications

• Experience managing large-scale AI deployments

• Knowledge of MLOps and model lifecycle automation

• Experience in big data tools such as Spark or Hadoop

• AI-related certifications

Key Performance Indicators (KPIs)

• Successful deployment of AI projects

• Improvement in business metrics through AI solutions

• Team productivity and innovation

• Model accuracy and performance benchmarks

We are seeking a skilled and motivated Cyber Security Analyst to join our onsite team in Canada. The ideal candidate will be responsible for protecting the organization’s systems, networks, and data from cyber threats while ensuring compliance with security standards and best practices.

Key Responsibilities:

• Monitor networks, servers, and systems for security breaches and suspicious activity

• Identify vulnerabilities and implement security controls to mitigate risks

• Conduct regular security assessments, audits, and penetration testing

• Investigate security incidents and respond to cyberattacks in a timely manner

• Implement and manage firewalls, intrusion detection systems (IDS), and endpoint security tools

• Ensure compliance with cybersecurity frameworks and regulations (ISO 27001, NIST, SOC 2, etc.)

• Develop and maintain security policies, procedures, and documentation

• Collaborate with IT and development teams to ensure secure system design

• Provide cybersecurity awareness training to employees

• Stay updated with the latest cyber threats, tools, and industry trends

Required Skills & Qualifications:

• Bachelor’s degree in Cyber Security, Computer Science, IT, or related field

• 2+ years of experience in cybersecurity or information security roles

• Strong knowledge of network security, operating systems, and cloud security

• Experience with SIEM tools, vulnerability scanners, and security monitoring tools

• Understanding of ethical hacking, malware analysis, and incident response

• Familiarity with Windows, Linux, and networking protocols

• Strong analytical and problem-solving skills

Preferred Certifications:

• CEH (Certified Ethical Hacker)

• CompTIA Security+

• CISSP (Preferred)

• CISM or equivalent

Benefits:

• Competitive salary as per Canadian market standards

• Onsite work environment with growth opportunities

• Health insurance and employee benefits

• Professional training and certification support

• Career advancement opportunities

Job Description:
We are seeking an AI-Powered Cybersecurity Analyst to join our security operations team. In this role, you will leverage artificial intelligence and machine learning to detect, analyze, and mitigate cyber threats in real-time. The ideal candidate will have a strong foundation in cybersecurity principles along with hands-on experience in applying AI models for anomaly detection, predictive threat analysis, and automated incident response.

Key Responsibilities:

• Develop and deploy AI/ML models to identify unusual network behavior, malware patterns, and insider threats.

• Integrate AI-driven tools into existing Security Information and Event Management (SIEM) systems.

• Analyze large volumes of security logs and threat intelligence using machine learning techniques.

• Collaborate with threat hunters and SOC teams to enhance detection accuracy and reduce false positives.

• Automate repetitive security tasks such as phishing detection, vulnerability scanning, and patch prioritization.

• Stay updated on the latest advancements in AI for cybersecurity, including generative AI risks and adversarial attacks.

• Support incident response by providing AI-driven insights during investigations.

Qualifications:

• Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Data Science, or related field.

• Strong knowledge of cybersecurity fundamentals (network security, threat intelligence, SOC operations).

• Experience with machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn).

• Familiarity with security tools such as Splunk, QRadar, or Elastic Security.

• Programming skills in Python or R for data modeling and automation.

• Understanding of adversarial AI threats and defensive strategies.

• Excellent problem-solving and analytical skills.

Preferred Skills:

• Knowledge of cloud security (AWS, Azure, GCP) with AI-driven defense mechanisms.

• Experience with Natural Language Processing (NLP) for phishing and malware text analysis.

• Certifications such as CEH, CISSP, or CompTIA Security+, along with AI/ML certifications.

Why Join Us?
You will be at the forefront of the next generation of cybersecurity, using artificial intelligence to fight advanced cyber threats. This role offers the opportunity to work on cutting-edge security challenges, innovate with AI, and protect organizations against evolving digital risks.

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:

• Design and oversee end-to-end data science and machine learning architectures

• Build scalable data pipelines, models, and analytics platforms

• Collaborate with business stakeholders to define data-driven solutions

• Lead and mentor data scientists, engineers, and analysts

• Ensure data quality, security, governance, and compliance

• Evaluate and implement modern tools, frameworks, and cloud technologies

• Drive best practices in model deployment, MLOps, and performance optimization

Required Skills & Qualifications:

• Strong expertise in data science, machine learning, and statistical modeling

• Proficiency in Python, R, SQL, and big data technologies

• Experience with cloud platforms (AWS, Azure, or GCP)

• Knowledge of data engineering, ETL pipelines, and MLOps

• Strong system design and architectural experience

• Excellent communication and leadership skills

Preferred Qualifications:

• Experience with AI/ML production systems

• Background in large-scale enterprise or high-growth environments

• Familiarity with deep learning, NLP, or advanced analytics

Why Join Us:

• Competitive salary up to $200K

• Opportunity to lead high-impact data initiatives

• Work with cutting-edge technologies

• Collaborative and innovative work culture

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.

Job Description:

We are looking for an experienced Network Security Engineer to join our onsite team in Canada. The ideal candidate will be responsible for designing, implementing, and maintaining secure network infrastructures to protect the organization from cyber threats and unauthorized access.

Key Responsibilities:

• Design, deploy, and manage secure network architectures

• Configure and maintain firewalls, VPNs, IDS/IPS, and network security devices

• Monitor network traffic and respond to security incidents

• Identify vulnerabilities and implement risk mitigation strategies

• Conduct network security assessments and penetration testing

• Ensure secure configuration of routers, switches, and wireless networks

• Collaborate with IT teams to integrate security best practices

• Maintain network security documentation and policies

• Support incident response and disaster recovery efforts

• Stay updated with emerging network security threats and technologies

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, Cyber Security, or related field

• 3+ years of experience in network security or network engineering

• Strong knowledge of TCP/IP, DNS, DHCP, VPN, and network protocols

• Hands-on experience with firewalls (Cisco, Palo Alto, Fortinet, Check Point)

• Experience with IDS/IPS, SIEM, and network monitoring tools

• Knowledge of cloud networking security (AWS, Azure, or GCP)

• Familiarity with Linux and Windows environments

• Strong troubleshooting and analytical skills

Preferred Certifications:

• CCNA / CCNP Security

• CompTIA Security+

• CEH (Certified Ethical Hacker)

• CISSP (Preferred)

Benefits:

• Competitive salary as per Canadian market standards

• Onsite role with long-term career growth

• Health insurance and employee benefits

• Training and certification support

• Collaborative and secure work environment

The Clinical Data Analyst plays a key role in analyzing clinical and medical data to support research studies, patient safety, and treatment effectiveness. This position works closely with doctors, researchers, and clinical teams to ensure data integrity and meaningful reporting.

Key Responsibilities

• Analyze clinical trial and patient treatment data

• Validate and maintain high data quality standards

• Prepare statistical reports and summaries for clinical teams

• Monitor patient outcomes and safety metrics

• Ensure compliance with clinical and regulatory guidelines

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Life Sciences, Data Science, or related field

• Proficiency in SQL and Python or R

• Strong understanding of statistics and data validation techniques

• Knowledge of clinical research processes and medical terminology

• Familiarity with regulatory standards such as HIPAA and GCP

Experience Level

• 1–3 years (Entry to Mid Level)

We are looking for a Healthcare Data Analyst to turn complex healthcare data into meaningful insights that improve patient outcomes and operational efficiency. This role involves working closely with clinical, administrative, and management teams to analyze patient records, hospital performance, and treatment data.

Key Responsibilities

• Collect, clean, and analyze healthcare datasets from EHR/EMR systems

• Create dashboards and reports to track hospital performance and patient outcomes

• Identify trends in admissions, readmissions, costs, and treatments

• Support clinical and business decision-making with data insights

• Ensure data accuracy, privacy, and compliance with healthcare regulations

Required Skills & Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field

• Strong knowledge of SQL and Excel

• Basic to intermediate Python (Pandas, NumPy)

• Experience with Power BI or Tableau

• Understanding of healthcare data standards (ICD-10, EHR, HIPAA)

Overview:
A Cyber Data Forensics Analyst specializes in investigating, analyzing, and interpreting data related to cyber incidents. This role bridges the gap between cybersecurity and data science by leveraging advanced analytical methods to uncover evidence, detect anomalies, and reconstruct cyberattacks. The analyst ensures organizations can respond effectively to threats while maintaining legal and ethical integrity.

Key Responsibilities:

• Collect, process, and analyze digital evidence from compromised systems, networks, and databases.

• Perform log analysis, anomaly detection, and event correlation to identify patterns of attack.

• Apply machine learning and statistical models to detect hidden or advanced persistent threats (APTs).

• Collaborate with cybersecurity teams, law enforcement, and legal experts during investigations.

• Document findings in forensic reports suitable for technical and non-technical audiences.

• Support proactive threat hunting and incident response initiatives.

Required Skills:

• Strong foundation in digital forensics, cybersecurity, and incident response.

• Proficiency in data analysis tools (e.g., Python, SQL, Splunk, ELK stack).

• Experience with forensic tools (e.g., EnCase, FTK, Autopsy) and log analysis.

• Knowledge of malware analysis, intrusion detection, and threat intelligence.

• Familiarity with machine learning techniques for anomaly detection.

• Excellent communication and reporting skills.

Job Description:      At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!   Job Description: Manual Ethical Hacking is part of the Application Development Security Framework Program within Bank of America’s Cyber Security Assurance Offensive Security group. The program provides services to assess the vulnerability of the bank’s applications to malicious hacking activity. This intermediate technical role is responsible for performing application security assessments of the bank's technologies, applications, and cyber security controls while adapting testing methods to evolving and emerging threats. Key responsibilities include performing research, understanding the bank’s security policies, working with the appropriate partners to complete assessments and simulations, identifying misconfigurations and vulnerabilities, and reporting on associated risk. These individuals partner closely with security partners, CIO clients and multiples lines of business. Key Responsibilities in order of importance:

• Perform assigned analysis of internal and external threats on information systems and predict future threat behavior
• Incorporate threat actors' tactics, techniques, and procedures into offensive security testing
• Perform assessments of the security, effectiveness, and practicality of multiple technology systems
• Leverage innovative thinking to help solve problems or introduce new ideas to processes or products applicable to offensive security.
• Prepare and present detailed technical information for various media including documents, reports, and notifications
• Provide clear and practical advice regarding managed risks
• Learn and develop advanced technical and leadership skills, Mentor Junior assessors in technical tradecraft and soft skills

  Required Skills:

• Minimum of 4 years of professional pentesting, application security or ethical hacking experience, preferably in a large, complex, enterprise environment
• Detailed technical knowledge in at least 3 of the following areas: security engineering; application architecture; authentication and security protocols; application session management; applied cryptography; common communication protocols; mobile frameworks; single sign-on technologies; exploit automation platforms; RESTful web services
• SQL injection/XSS attack without the use of tools
• Experience performing manual code reviews for security relevant issues
• Experience working with SAST tools to identify vulnerabilities
• Able to manually identify and reproduce findings, discuss remediation concepts, develop PoCs for vulnerabilities, use scripting/coding techniques, proficiently execute common penetration testing tools, triage, and support incidents, and produce high value findings
• Experience performing manual web application assessments i.e., must be able to simulate a
• Knowledge of network and Web related protocols/technologies (e.g., UNIX/LINUX, TCP/IP, Cookies)
• Experience with vulnerability assessment tools and penetration testing techniques
• Solid programming/debugging skills
• Experience of using a variety of tools, included, but not limited to, IBM AppScan, Burp and SQL Map
• Threat Analysis
• Innovative Thinking
• Technology Systems Assessment
• Technical Documentation
• Advisory

  Desired:

• CISSP, CEH, OSCP, OSWE, GPEN, PenTest+ or similar
• Strong programming/scripting skills

This job will be open and accepting applications for a minimum of seven days from the date it was posted.   Shift: 1st shift (United States of America) Hours Per Week: 40