Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
About the role
- Data Scientist for College Board leveraging data analysis and machine learning to improve educational outcomes. Collaborating with teams to develop machine learning solutions and insights.
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
Requirements
- 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.)
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
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