8 - 10 years
10 - 45 Lacs
Posted:2 weeks ago|
Platform:
Remote
Full Time
Responsibilities & Skills
? Algorithm Development: Design, implement, and improve scalable forecasting and M&V algorithms using statistical, machine learning, and scientific methods.
? Scientific Analysis: Apply rigorous scientific techniques such as hypothesis testing, causal inference, and uncertainty quantification to support decision-making and model evaluation.
? Performance Optimization: Enhance the scalability and efficiency of forecasting and M&V pipelines through code and system improvements. ? Cross-Functional Collaboration: Work closely with engineers and SREs to resolve production issues, gather requirements, and support client needs.
? Mentorship & Knowledge Sharing: Mentor junior team members and educate the team on core scientific concepts in forecasting and M&V.
? Agile Participation: Engage in sprint planning, estimation, reviews, and retrospectives within a Scrum framework.
Required Skills:
? 4+ years of experience in a data science role with a focus on time-series forecasting and/or M&V.
? Strong programming skills in Python, with experience navigating and contributing to production codebases.
? Deep understanding of statistical and machine learning methods for time-series forecasting (e.g., ARIMA, regression models, deep learning). ? Experience with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn).
? Hands-on experience with large-scale data processing using PySpark or Dask.
Rajiv Padmanabhan Padmanabhan( Proprietor of Seventh Contact Hiring Solutions)
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