Senior Data Science Analyst (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Science Analyst (Python/R): Designing and deploying advanced machine learning solutions for enterprise-scale utility and clean energy initiatives with an accent on predictive modeling, MLOps, and data visualization. Focus on building end-to-end analytical pipelines, mentoring junior staff, and translating complex data insights into actionable business strategies.
Location: Must be based in Richmond, Virginia
Salary: $55–$61/hr (W2)
Company
is a leading provider of information technology and workforce solutions with a vast network of professionals across the U.S. and Canada.
What you will do
- Partner with business units to identify and deliver high-value data science use cases.
- Design, build, and deploy predictive, prescriptive, and diagnostic models.
- Apply advanced techniques including time series forecasting, optimization, NLP, and anomaly detection.
- Develop end-to-end solutions from data acquisition to post-production monitoring.
- Implement MLOps best practices and collaborate with cloud architects to ensure production-ready models.
- Create intuitive visualizations and self-service analytics tools for stakeholders.
Requirements
- 5+ years of experience in Data Science using Python or R with large, complex datasets.
- Proven ability to translate analytical findings into actionable insights for executives.
- Experience creating interactive dashboards using tools like RShiny, Power BI, Streamlit, or Dash.
- Strong knowledge of MLOps, model lifecycle management, and CI/CD pipelines.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Bachelor’s degree or higher in Computer Science, Mathematics, or a related field.
Nice to have
- Experience with large-scale commercial utilities or capital projects.
- Understanding of data engineering concepts.
Culture & Benefits
- Access to comprehensive benefits including medical, dental, and vision insurance.
- 401K contributions provided.
- Paid time off and sick leave included.
- Opportunity to work on impactful clean energy and grid modernization projects.
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