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Salary- $144K/Yr - $207K/Yr
Hybrid
Posted 1 week ago

- Currently enrolled in an accredited college or university Master's degree program. - Majoring in Computer Science, Statistics or a related STEM discipline. - Graduation date falls in May/June 2027 and beyond. - Ability to work year-round: part-time during the school year and full-time during the summer. - Living within commutable distance to Austin, TX and able to work in-person for all hours.
The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain on-the-job applied science and machine learning experience and receive excellent mentoring while completing their education. Jr. Applied Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Applied Science Mentor, Jr. Applied Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of your degree and success in the Jr. Applied Scientist role, the opportunity for full-time employment will be available at the Amazon corporate site in Austin, TX. The Jr. Applied Scientist role is part of the Jr. Developer Program, a unique internship program in several respects: • We offer work year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time applied scientists, data scientists, business intelligence engineers, and software development engineers are willing and able to mentor exceptional student applied scientists, data scientists, SDEs, and BIEs. • Jr. Applied Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” applied science and machine learning experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities • Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services. • As an Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with distributed systems of data and providing technical partnership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. • This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. • The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.

  • Previous technical internship(s).
  • Effectively articulate technical challenges and solutions.
  • Adept at handling ambiguous or undefined problems as well as ability to think abstractly.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Features

Job CategoryData Analyst, Data Science

– Currently enrolled in an accredited college or university Master’s degree program. – Majoring in Computer Science, Statistics or a related STEM discipline. – Graduation date ...

Salary- $80K/yr - $100K/yr
Hybrid
Posted 2 weeks ago

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:

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:

12 + years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries
5+ years proven data architecture experience - must have demonstrable experience data architecture, accountable for data standards, designing data models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)
At least 3 years experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred
Expert in engineering data pipelines using various data technologies – ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience
5+ years hands on data warehouse design, development, and data modeling best practices for modern data architectures
Highly proficient in at least one of these programming languages: Java, Python
Experience with modern data modelling tools, data preparation tools
Experience with adding data lineage, technical glossary from data pipelines to data catalog tools
Highly proficient in Data analysis – analyzing SQL, Python scripts, ETL/ELT transformation scripts
Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required
Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus
Self-driven individual with the ability to work independently or as part of a project team
Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred
Experience with Streamsets, dbt preferred
Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users
Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management required

Job Features

Job CategoryData Science

Title: Azure Data Engineer Location: Hybrid GENERAL PURPOSE: The Data Engineer III plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key membe...

Salary- $250K/Yr - $300K/Yr
Remote
Posted 2 weeks ago

About the Team

The Scaling Laws group within Architecture works to advance our foundational understanding of our deep learning stack. We study the algorithmic scaling behavior across architecture, optimization, and data. Besides leading directly to capabilities improvements, this work underpins OpenAI's ability to carry out other research through predictive scaling laws, correct experimental methodology, and evaluations.

About the Role

As a Research Scientist here, you will be responsible for conducting investigations and developing principled theories that predict algorithmic scaling behavior. You will build and apply theoretically-grounded intuitions, design and execute careful experiments, think deeply about hyperparameters, and deliver improvements across all aspects of our algorithms.

You might thrive in this role if:

  • You have a background in statistical machine learning, physics, mathematics, or another theoretically and empirically rigorous field.
  • Or, you have a strong track record in deep learning research demonstrating an expert knowledge of deep learning algorithms (objectives, architecture, optimization).
  • You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time.
  • You are a capable programmer and are comfortable implementing novel deep learning algorithms correctly and autonomously.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Features

Job CategoryData Engineer

About the Team The Scaling Laws group within Architecture works to advance our foundational understanding of our deep learning stack. We study the algorithmic scaling behavior across architecture, opt...

Salary- $120K/yr - $150K/yr
Remote
Posted 2 weeks ago

Job Title: Oracle Core Finance Tester

Location: Remote

Responsibilities:

· Test Oracle ERP Cloud Core Finance modules (R2R, A2R).

· Develop and execute test cases, scripts, and scenarios.

· Perform integration and functional testing.

· Log defects and work with teams to resolve issues.

· Ensure system accuracy and compliance with business needs.

· Knowledge of R2R and A2R processes.

· Experience with test management tools (Jira, ALM).

Job Features

Job CategoryCloud Security Engineer, Cyber Security

Job Title: Oracle Core Finance Tester Location: Remote Responsibilities: · Test Oracle ERP Cloud Core Finance modules (R2R, A2R). · Develop and execute test cases, scripts, and scenarios. ...

Salary- $80K/yr - $100K/yr
Remote
Posted 3 weeks ago

2020 Companies is now hiring a full-time remote Data Quality Assurance Analyst

The Data Quality Assurance Analyst plays a vital role in ensuring the accuracy, integrity, and reliability of data flowing through our systems which is ultimately used for critical internal and external reporting. This individual will collaborate closely with the I/S and business analytics teams to implement and maintain robust data quality processes, identify and resolve data discrepancies, and contribute to a culture of data-driven decision-making.

What's in it for you?

  • Work remotely
  • Competitive annual salary, paid weekly
  • Next day pay on-demand with DailyPay
  • Health/Dental/Vision benefits
  • 401K Program with matching
  • Paid Time Off
  • Paid Holidays
  • $30 Mobile Reimbursement
  • Scholarship opportunities for employees and direct family members
  • Employee Assistance Program
  • Leadership Development Program

About 2020 Companies

At 2020 Companies, we work for you. As a long-standing partner with many world-renowned clients in the wireless and consumer electronics sectors, we provide talent who personally connect with our consumers by inspiring participation, creating a memorable brand experience, and influencing future purchase decisions to form customers forever.

Job Description

Essential Duties and Responsibilities

Data Quality Assurance

  • Develop, implement, and maintain comprehensive data quality assurance processes, including data profiling, data validation, and data cleansing.
  • Collaborate with I/S and business analytics teams to establish data quality standards, metrics, and KPIs.
  • Conduct regular data audits and assessments to identify and address data quality issues.
  • Develop and execute test cases to ensure data accuracy throughout the data lifecycle.
  • Monitor data ingestion, calculations, manipulation, and outputs within Salesforce to ensure data integrity.
  • Work with stakeholders to define and implement data quality improvement initiatives.

Data Analysis And Reporting

  • Analyze complex data sets to identify trends, patterns, and anomalies.
  • Generate reports and visualizations to communicate data quality findings and recommendations to stakeholders.
  • Collaborate with business users to understand data requirements and ensure data quality meets their needs.
  • Support the development of data-quality dashboards and scorecards.

Collaboration And Communication

  • Build and maintain strong working relationships with I/S, business analytics, and other key stakeholders.
  • Facilitate effective communication and collaboration across teams to promote data quality awareness and best practices.
  • Provide training and support to users on data quality processes and tools.

Continuous Improvement

  • Stay abreast of industry best practices and emerging trends in data quality management.
  • Research and evaluate new data quality tools and technologies.
  • Proactively identify opportunities for process improvement and automation.

Qualifications

Education and Experience:

  • Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.
  • 3+ years of experience in data quality assurance or a related role.
  • Strong understanding of data management principles, data warehousing, and ETL processes.
  • Experience working with Salesforce or other CRM systems is preferred.
  • Proficiency in SQL and data analysis tools.
  • Experience with data visualization tools (e.g., Power BI) is recommended.

Skills And Abilities

  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and accuracy.
  • Effective communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Ability to manage multiple priorities and meet deadlines.
  • Proactive and results-oriented approach.

What You Can Expect From 2020 Companies

We welcome every voice, and we are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We are always identifying opportunities to encourage our team to be their authentic selves, while working to provide a best-in-class experience for our employees. Whether that’s paid holidays, long-term career pathing options, personal development opportunities or professional stretch assignments, you can expect 2020 Companies to support you.

2020’s Commitment

We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

Job Features

Job CategoryData Analyst, Data Science

2020 Companies is now hiring a full-time remote Data Quality Assurance Analyst The Data Quality Assurance Analyst plays a vital role in ensuring the accuracy, integrity, and reliability of data flowin...

Salary- $80K/yr - $100K/yr
Hybrid
Posted 3 weeks ago

Title: PowerBI Data Analyst
Location: Hybrid

Hiring Manager Notes:

  • Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
  • Excellent communication is essential. This Statistician will:
  • 1. Require a working knowledge of formal statistical analysis and causal modeling.
  • 2. Use SQL to manipulate and model data.
  • 3. Use Python or R perform statistical and causal modeling; create visualizations;
  • 4. Use Tableau to create interactive visualizations

Additional Comments :

  • We need strong Statistical Analysis candidate with hands on Tableau exp.
  • We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don't have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
  • Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
  • Excellent communication is essential

This role will:

  • Use Tableau to create visualizations
  • Use SQL to manipulate and model data
  • Use python to manipulate and model data; create visualizations;
  • Require a working knowledge of formal statistical analysis and causal modeling
  • Require excellent communication skills

Job Features

Job CategoryData Science

Title: PowerBI Data AnalystLocation: Hybrid Hiring Manager Notes: Additional Comments : This role will: