RunPod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential, driving technology and transforming industries. Join us as we shape the future of AI.
In this role, you will develop predictive models to better understand our users, optimize conversions, and forecast revenue. You’ll work closely with cross-functional teams, using your expertise in data science to build actionable insights and deliver data-driven recommendations that shape our business strategy.
Responsibilities:
- Build lookalike models to predict user profiles, and construct algorithms to predict Customer Lifetime Value (LTV).
- Identify key behaviors associated with retention and build churn prediction models.
- Translate data discoveries into actionable recommendations for sales, product, and marketing teams.
- Collaborate with stakeholders to guide data-driven initiatives focused on user retention and increased engagement.
- Build dynamic revenue forecasts, factoring in signup rates, conversion metrics, and churn.
Requirements:
- Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Experience: 3+ years of experience as a Data Scientist or similar role, ideally in a SaaS or IaaS environment.
- Proficiency in Python or R for data analysis and modeling.
- Strong SQL skills for data extraction and manipulation.
- Experience with predictive modeling, including lookalike modeling, churn prediction, and LTV estimation.
- Familiarity with revenue forecasting methods, ideally incorporating multiple data inputs.
- Knowledge of machine learning libraries (e.g., scikit-learn, TensorFlow) and data visualization tools (e.g., Mode, Tableau, Power BI).
- Experience with data warehousing platforms (e.g., Snowflake, Athena, or Redshift)
- Strong communication skills to present findings and recommendations to non-technical stakeholders.
- Ability to work cross-functionally with product, engineering, and sales teams.
- Problem-solving mindset with a proactive approach to identifying and addressing business challenges.
- Successful completion of a background check
Preferred:
- Experience building demand models and/or Markov chains
- Experience in deploying machine learning models in production.
- Familiarity with lead scoring and marketing attribution models.
- Background in data-driven product personalization or experience with A/B testing frameworks.
What You’ll Receive:
- The competitive base pay for this position ranges from ($180,000 - $210,000). This salary range may be inclusive of several career levels at RunPod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location
- Stock options
- The flexibility of remote work with an inclusive, collaborative team.
- An opportunity to grow with a company that values innovation and user-centric design.
- Generous vacation policy to ensure work-life harmony and well-being.
- Contribute to a company with a global impact based in the US, Canada, and Europe.
RunPod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, RunPod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law.
