Data Scientist @ RunPod | Jobright.ai
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RunPod · 23 hours ago

Data Scientist

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Artificial Intelligence (AI)Cloud Infrastructure

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data SciencePredictive ModelingPythonSQLMachine Learning LibrariesData Visualization ToolsData WarehousingRevenue ForecastingDemand ModelsMarkov ChainsLead ScoringA/B Testing FrameworksCross-functional CollaborationProblem-solving Mindset

Required

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.

Benefits

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.

Company

RunPod

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RunPod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.

Funding

Current Stage
Early Stage
Total Funding
$22M
2024-05-08Seed· $20M
2023-03-30Pre Seed· $2M

Leadership Team

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Zhen Lu
Co-Founder and CEO
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Pardeep Singh
CTO and Co-Founder
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