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The College Board · 1 month ago

Data Scientist, Data Science Team

United States

Full-time

Remote

Entry, Mid Level

$120K/yr - $163K/yr

2+ years exp

The College Board is a mission-driven, not-for-profit organization dedicated to excellence in education. They are seeking a Data Scientist to collaborate with team members and stakeholders to develop machine learning applications and provide insights to support decision-making processes.

Education Management

H1B Sponsor Likely

Responsibilities

Develop machine learning applications (40%)

• Design and implement high quality software using the latest and greatest cloud and machine learning technologies

• Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality

• Help identify and build major components of complex machine learning models

• Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application

• Build functions, APIs, and data stores to make predictions and analyses accessible to other systems

Data exploration, analysis, and prototyping (40%)

• Create insights from existing data and drive the collection of new data

• Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations

• Create reproducible, documented analyses and models that lend themselves to automation

Team Operations & Success (20%)

• Help the team break down the work into manageable tasks and support our Agile maturity

• Substantially improve the team’s productivity and quality by enhancing tools, processes, and code structure

• Advise other teams on Machine Learning projects and assist with establishing Machine Learning governance

• Assist in the identification and resolution of production issues

Qualification

Machine LearningPythonData AnalysisSQLNoSQLDeep LearningCI/CDDevOpsAgileData VisualizationCommunication SkillsProblem-SolvingTeam Collaboration

Required

Ideally a Master's in a quantitative discipline or computer science, or a Bachelor's and 2-3 years related experience, or 3+ years related experience

Programming expertise in Python (Pandas)

Experience in data and statistical analysis

Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems

Experience with SQL and NoSQL databases

A passion for solving difficult problems creatively

Excellent communication and listening skills, and are able to help others understand both problems and solutions

The ability to tell a story with your data

Worked within a close knit team and enjoy helping your colleagues succeed

Knowledge in CI/CD, DevOps and Agile

Knowledge in developing applications on an Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)

Candidates must be authorized to work in the United States for any employer and should possess clear and concise communication skills, both written and verbal

Preferred

Proficiency in Microsoft Suite tools is preferred, though a willingness to learn is equally valued

Curiosity and enthusiasm for emerging technologies, particularly AI-driven solutions

A proactive approach to independently learning and applying new digital tools

Benefits

Annual bonuses and opportunities for merit-based raises and promotions

A mission-driven workplace where your impact matters

A team that invests in your development and success

Company

The College Board

Glassdoor3.7

College Board is a not-for-profit organization that clears a path for all students to own their future through the Advanced Placement Program, the SAT, Official SAT Practice on Khan Academy, BigFuture, and more.

Founded in 1900

New York, NY, US

1001-5000 employees

http://www.collegeboard.org

H1B Sponsorship

The College Board has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2025 (7)

2024 (9)

2023 (8)

2022 (12)

2021 (5)