Data Scientist

About The Team

The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small tight knit self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.

About The Opportunity

As a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savvy, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.

In this role, you will

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
  
  

About You, You Have

• 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 OR a great story to tell
• Programming expertise in Python
• Experience in data and statistical analysis
• Proven experience in developing Machine Learning, Deep Learning, and Generative AI 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.)
• You are authorized to work in the US
  
  

About Our Benefits And Compensation

College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.

• Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
• We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
• We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $110,000 to $131,000. The salary offer of an individual candidate within this range is specific to their location and qualifications.
• Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process.
  
  

As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!

About College Board

We are a mission-focused, not-for-profit membership organization promoting innovation, equity, and excellence for all students. Our members include more than 6,000 of the world’s leading educational institutions. We have 1,600 employees in 13 offices across the continental U.S. and Puerto Rico.

We are advocates for children and parents, we empower teachers and educators, and we're a strong presence in thousands of schools and communities across the country through our programs and services—the SAT®, Advanced Placement® (AP®), and Pre-AP® are just a few. Our work falls broadly into four categories: College Readiness, College Connection & Success, Student Opportunities, and Advocacy.

Benefits

We offer our employees an outstanding benefits package that includes four weeks of paid time off, a generous retirement savings plan, tuition reimbursement, and ongoing professional development and training.

Mission

Clearing a path for all students to own their future.

EEOC statement

College Board is proud to be an equal opportunity employer. We’re committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.