Data Scientist delivering data science projects for Samba TV. Working on knowledge graphs, audience modeling, and mentoring junior team members.
About the role
- Senior Data Scientist developing advanced machine learning models to drive data-driven decision making. Collaborating with stakeholders to identify business solutions using company data.
Responsibilities
- Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems and drive data-driven decision making across the organization
- Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to stakeholders
- Build and optimize end-to-end data pipelines, including data extraction, transformation, and feature engineering to support scalable ML solutions
- Review, scale, and enhance operationalized statistical and machine learning models and algorithms, and quantify improvements in terms of business efficiency or customer experience
- Create repeatable processes and scalable data products by, for example, automating feedback loops for production statistical or machine learning models
- Perform exploratory data analysis on large-scale datasets to uncover patterns, trends, and opportunities for innovation
- Implement MLOps best practices, including model versioning and monitoring to ensure reliable model performance in production
- Mentor junior data scientists and contribute to the development of team capabilities through code reviews, knowledge sharing, and best practice documentation
- Influence functional teams to develop best practices across the organization
- Identify areas of opportunity for data science to effect change and drive strategic business impact
- Maintain engagement with the data science community and current industry developments to assist in driving technical data science team vision and strategy
Requirements
- Master’s Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related quantitative fields) and 5+ years professional experience in a data science role or PhD in a quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role
- Deep understanding of machine learning algorithms, statistical modeling techniques, and their practical applications, along with extensive experience using ML frameworks and libraries such as scikit‑learn, TensorFlow, or similar tools.
- Strong SQL skills and experience working with large-scale data warehousing platforms, particularly Snowflake
- Expert proficiency in a scripting language such as Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn) and strong programming skills in Java or similar languages
- Intermediate proficiency in a low-level or performant language
- Expert proficiency in working within a cloud computing environment using software development best practices
- Hands-on experience with cloud platforms (AWS and/or Azure) including services for data storage, processing, and model deployment
- Proven track record of deploying machine learning models to production environments and measuring their business impact
- Experience automating production-quality statistical or machine learning models at scale with expert understanding of their underlying mathematical and statistical theory
- Experience with version control (Git), containerization (Docker), and CI/CD practices
- Experience and expertise solving complex and highly impactful quantitative business problems
- Self-starting attitude; ability to spearhead new data science initiatives and collaboration across functional teams
- Demonstrates excellent communication skills with ability to explain statistic and mathematical concepts to non-experts.
Benefits
- Free use of our on-site fitness center, gym sports, group exercise classes, and game room
- Onsite catering and cafeteria subsidized by OCLC
- Health and wellness events
- Paid parental leave and adoption assistance
- Tuition reimbursement and Public Service Loan Forgiveness eligibility
- Company-subsidized pricing on local tickets and memberships
Job title
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