Predictive Modeling and Strategy Developer

2 days ago


New York, New York, United States CookUnity Full time
Growth Insights and Analytics Specialist

CookUnity is seeking a seasoned Data Scientist to join our growth team and help us drive revenue growth through accurate subscriber growth forecasts. As a key member of our team, you'll apply machine learning and time series forecasting techniques to produce insightful forecasts and inform business decisions.

We're looking for someone with a strong background in marketing data analytics, experience working with multi-touch attribution, and expertise in developing predictive models. If you're passionate about using data to drive business growth and have a strong work ethic, we encourage you to apply.

**Responsibilities:**

  • Develop and own predictive models for yearly, quarterly, monthly, weekly, and daily forecasts across media channels (e.g., paid search, social, TV).
  • Combine error analysis with in-depth insights about customer demand to develop and fine-tune forecasts.
  • Deliver spend insights in support of budgeting and spend optimization.

**Requirements:**

  • An advanced degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain.
  • 6+ years of experience in marketing data analytics.
  • Experience working with multi-touch attribution, media mix modeling, marketing measurement and attribution, targeting and creative optimization, online purchase funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.

**What We Offer:

  • A competitive salary range of $160,000-$180,000 USD per year.
  • Unlimited PTO and 5-year Sabbatical program.
  • Fully paid family leave and compassionate leave policies.
  • A generous amount of CookUnity credits to enjoy our amazing meals.
  • Wellness perks, including access to a nutritional coach and fitness subsidies.
  • The opportunity to join a dynamic team driving innovation in the food delivery industry.

**Apply Now:** If you're a motivated and experienced Data Scientist looking for a new challenge, please submit your application.



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