Manager, Data Science

The Job

• Build a strong AI and data science foundation
  :
  Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms to support marketing and growth decision‑making.
• Lead end‑to‑end data science & AI projects
  :
  From requirements gathering through feature engineering, modeling, validation, deployment and monitoring.
• Establish best practices
  :
  Champion standards in model governance, reproducibility, data quality, and system reliability to ensure sustainable and trustworthy AI adoption.
• Drive marketing science innovation
  :
  Apply advanced methods—causal inference, uplift modeling, multi‑touch attribution, and media mix modeling—to unlock insights and optimize spend.
• Advance forecasting & ROI modeling
  :
  Deliver budget allocation frameworks and predictive models that guide long‑term roadmap planning and marketing efficiency.
• Partner cross‑functionally
  :
  Work closely with Marketing, Growth, Product, Engineering and Finance leaders to align analytics initiatives with revenue impact.
• Invest in people
  :
  Mentor, coach and elevate a team of high‑performing data scientists; foster a culture of technical rigor, curiosity and applied innovation.
• Push the frontier of applied AI in marketing
  :
  Evaluate emerging generative and predictive AI approaches for audience segmentation, creative optimization, personalization and campaign efficiency.

Experience & Education

• 8+ years of experience in data science roles with direct impact on marketing, growth or revenue optimization.
• Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research, or related) or equivalent applied experience.

Technical Skills

• Advanced proficiency in Python (Num Py, pandas, scikit‑learn) and SQL (window functions, optimization). Please note, advanced python and SQL proficiency will be tested during the interview process for this position.
• Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling and attribution models.
• Proven success in forecasting, optimization and budget allocation models for marketing and growth functions.
• Hands‑on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau or equivalent).
• Strong data storytelling and executive presentation abilities.
• Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations.
• Experience developing senior data scientists and elevating team practices.
• Demonstrated ability to define a strategic vision for applied data science in marketing, balancing rapid experimentation with long‑term infrastructure investments.

Preferred

• Familiarity with experimentation and web/mobile analytics platforms (Optimizely, Growth Book, Google Analytics, Amplitude).
• Experience integrating with marketing APIs (Google, Meta, programmatic platforms) for campaign optimization.
• Prior exposure to generative AI or LLMs in marketing use cases (e.g., personalization, targeting, creative analysis).
• Knowledge of multi‑arm and contextual bandit algorithms for adaptive experimentation and continuous marketing optimization.
• Familiarity with ML ops practices: version control, model monitoring, scalable ETL frameworks.

Why you’ll love it here

• Make an Impact
  :
  Be part of a mission‑driven organization making a positive difference in millions of lives every year.
• Innovative Environment
  :
  Work with a diverse, passionate, and talented team in a fast‑paced, forward‑thinking atmosphere.
• Collaborative Team
  :
  Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits
  :
  Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support
  :
  Financial assistance for hybrid work, family planning, generous parental leave, flexible time‑off policies and mental health resources.
• Growth Opportunities
  :
  Learning, development and recognition programs to help you thrive and grow.
• Commitment to DEI
  :
  Ongoing initiatives and employee resource groups to advance diversity, equity and inclusion.
• Community Engagement
  :
  Volunteering program to give back to the community.

The total annual salary for this full‑time position is $202,000 - $303,000 plus equity and benefits. The company offers healthcare, dental, vision, life insurance and 401(k) saving program. Pay may vary by location, skills, experience, education or training.

Go Fund Me  is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality, gender, gender identity or expression, pregnancy status, marital status, age, disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or interview or to otherwise participate in the hiring process, please contact us at accom