Website RunPod
RunPod
Data Scientist – United States – Remote
Founded in 2022, RunPod is revolutionizing AI and machine learning by providing cutting-edge cloud infrastructure for full-stack AI applications. As a rapidly growing and well-funded remote-first company with a global presence, our mission is to empower innovators and enterprises to unlock AI’s true potential—driving technology forward and transforming industries.
Join us in building the future of AI.
About the Role
We are seeking a talented Data Scientist to develop predictive models that enhance user understanding, optimize conversions, and forecast revenue. In this role, you will collaborate with cross-functional teams to uncover actionable insights and deliver data-driven recommendations that shape our business strategy.
Key Responsibilities
- Develop lookalike models to predict user profiles and build algorithms to estimate Customer Lifetime Value (LTV).
- Identify behaviors linked to retention and create churn prediction models.
- Translate data findings into actionable strategies for sales, product, and marketing teams.
- Partner with stakeholders to lead data-driven initiatives focused on user retention and engagement.
- Design dynamic revenue forecasts, integrating signup rates, conversion metrics, and churn analysis.
Qualifications
Required:
- Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Experience: 3+ years as a Data Scientist, preferably in a SaaS or IaaS environment.
- Expertise in Python or R for data analysis and modeling.
- Strong SQL skills for data extraction and manipulation.
- Hands-on experience with predictive modeling, including lookalike modeling, churn prediction, and LTV estimation.
- Familiarity with revenue forecasting methods using diverse data inputs.
- Proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow) and visualization tools (e.g., Tableau, Mode, Power BI).
- Knowledge of data warehousing platforms (e.g., Snowflake, Athena, or Redshift).
- Excellent communication skills to effectively present findings to non-technical audiences.
- Proven ability to collaborate with product, engineering, and sales teams.
- Strong problem-solving mindset and a proactive approach to addressing business challenges.
- Successful completion of a background check.
Preferred:
- Experience with demand modeling or Markov chains.
- Hands-on experience 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 We Offer
- Competitive base salary ranging from $180,000 to $210,000, based on experience, qualifications, and location.
- Stock options to share in the company’s success.
- Flexible remote work arrangements within a collaborative and inclusive team environment.
- Generous vacation policy to support work-life balance and well-being.
- The chance to grow within a company driving global innovation.
Commitment to Diversity and Inclusion
At RunPod, we believe diversity fuels innovation and strengthens our team. We are an equal opportunity employer committed to fostering an inclusive environment where individuals from all backgrounds feel valued and empowered. Qualified applicants are considered without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, or any other legally protected status.
Join us to transform industries and unlock AI’s full potential.
To apply for this job please visit job-boards.greenhouse.io.