Manager, Data Science and Analytics

Overview

We are looking for a results‑driven Data Scientist Manager to lead end‑to‑end analytics initiatives and build scalable models that drive business impact. This role requires a strong foundation in statistical modeling, hands‑on coding in Python and SQL, and the ability to translate data into strategic insights. You’ll partner closely with cross‑functional teams and mentor junior team members.

• Lead the development, validation, and deployment of predictive and statistical models to solve key business problems.
• Analyze structured and unstructured data using Python, SQL, and relevant ML/AI frameworks.
• Design and execute experiments (e.g., A/B tests), interpret results, and recommend data‑driven decisions.
• Collaborate with product, marketing, and engineering teams to define analytics goals and influence strategy.
• Build dashboards or self‑service tools to scale insights across the business.
• Document analytical approaches and present findings to both technical and non‑technical audiences.
• Mentor junior analysts and data scientists, contributing to best practices and code reviews.

• 5‑7 years of experience in data science, advanced analytics, or related roles.
• Advanced Python skills for data analysis, modeling, and ML (pandas, scikit‑learn, XGBoost, etc.).
• Expert‑level SQL for complex data querying and transformation.
• Proven experience applying statistical modeling and machine learning techniques in production.
• Experience working with cloud platforms (GCP, Azure, AWS).
• Strong communication and storytelling skills with data.

Compensation Range: $88,540 to $121,100. The Final date to receive applications is 1/15/26.

Paid Family Care, Adoption & Fertility assistance, Pet adoption support, Tuition Assistance, Flexible time off, Matching Gifts, Flexible working arrangements, Business Resource Groups.

Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.

All your information will be kept confidential according to EEO guidelines.