Senior Data Scientist, Product Analytics
New
R
Renew HomeEnergy
United StatesFull-TimeSenior
Salary155000 - 195000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLNumpyPyTorchAirflowPandasTensorflowBigQuerydbtRedshiftAWS Lambdascikit-learn
Requirements
- 5+ years of experience in analytics, analytics engineering, or data science
- Fluency in SQL
- Deep experience with columnar data warehouses (e.g. Redshift, BigQuery)
- Experience with dimensional modeling, query optimization, and warehouse design principles
- Proficiency in Python for data analysis (e.g. Pandas, NumPy, Jupyter)
- Solid foundation in statistics including causal inference, experimentation, and simulation
- Ability to work through ambiguity, excellent problem solving skills and attention to detail
- Strong product intuition and ability to connect data insights to the user experience and business outcomes
- Strong preference for experience in the energy space (energy markets, smart devices, or home energy systems), or a demonstrated interest in the domain
- Experience with DBT and workflow orchestration platforms like Prefect/Airflow
- Experience with the AWS cloud computing ecosystem including: Redshift, s3, ZeroETL, ecs, Lambda
- Experience with AI/ML tools/frameworks (e.g. Scikit-learn, Tensorflow, PyTorch, Prophet)
Responsibilities
- Lead cross-functional initiatives to define, implement, and iterate on measurement and analysis of our Virtual Power Plant (VPP)
- Proactively analyze and interpret complex data to uncover critical business, product, and user insights
- Synthesize large-scale, disparate datasets — including smart meter data, device telemetry, settlement data, and logs — to aid in increasing the impact of our VPP products and services
- Build source of truth data models in DBT that serve as the foundation for reporting and decision-making
- Define and monitor KPIs to evaluate the success of new product features and business initiatives
- Influence product and business strategy by effectively communicating analytical results, recommendations, and tradeoffs to stakeholders across all levels of the organization
- Partner with engineers to define appropriate data instrumentation for new product features
- Perform statistical analysis and build predictive models on user interactions and smart device data to drive business recommendations and product strategy
- Contribute to the culture and workflows of the Product Analytics team – advocate for analytic best practices, introduce new tools and processes, perform code reviews, support your peers, and coach more junior members
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