Job Title Data Scientist II Location Remote US-based Product Company Experience 4 Years Qualifications Bachelor s or Master s degree in Computer Science Engineering or related field Responsibilities Algorithm Development Design implement and optimize scalable forecasting and M V algorithms Scientific Analysis Apply hypothesis testing causal inference and uncertainty quantification Performance Optimization Enhance pipeline scalability and efficiency across large-scale systems Collaboration Work closely with engineers SREs to address production issues and support client requirements Mentorship Guide junior team members and share expertise in forecasting M V methods Agile Delivery Actively participate in sprint planning reviews and retrospectives Required Skills 4 years experience in data science with focus on time-series forecasting and or M V Proficiency in Python and production-level codebases Strong grasp of statistical ML methods ARIMA regression deep learning etc Expertise with Python data stack NumPy SciPy Pandas scikit-learn Experience with large-scale data processing PySpark Dask Strong SQL skills exposure to RDS NoSQL is a plus Excellent communication skills able to simplify complex concepts Ability to thrive in quick-paced evolving environments Preferred Skills Nice to Have Prior experience in the energy industry load forecasting demand response Experience deploying ML models into production Familiarity with Docker Kubernetes
