Senior Data Scientist - C C

We are seeking a Data Scientist with 9 or more years of hands-on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset. Experience with machine learning and LLMs is a strong plus.

• Data scientists with proven time-series forecasting portfolios
• Candidates from energy, utility, or renewable sectors
• Profiles showing ARIMA/SARIMAX/Prophet/LSTM experience
• Evidence of weather-dependent forecasting projects
• Production deployment of operational forecasting systems

• 9+ years of experience as a Data Scientist / Data Analyst
• Strong proficiency in Python for data manipulation and analysis Pandas, Num Py, Sci Py
• Solid understanding of data cleaning, transformation, and feature engineering
• Experience with SQL (Postgre
  
  SQL, MySQL, Big Query, Snowflake, etc.)
• Familiarity with data visualization tools Matplotlib, Seaborn, Plotly, or Power BI/Tableau
• Understanding of statistics and data analysis fundamentals
• Experience working with APIs and external data sources
• Strong problem solving and communication skills
• Modern / Latest Tech Stack (Preferred)
• Python (3.x)
• Pandas, Num Py, Scikit learn
• Jupyter, VS Code
• Git / Git Hub
• Data tools:
  Airflow, dbt, Spark (basic exposure)
• Containerization:
  Docker (nice to have)
• Good to Have
• Hands on experience with Machine Learning model Regression, classification, clustering, time series
• Exposure to LLMs and Generative AI OpenAI / Azure OpenAI APIs
• Embeddings, vector databases (FAISS, Pinecone, Chroma)
• Experience with NLP or text analytics
• Knowledge of MLOps basics (model versioning, monitoring)

If your profile matches, please do share a copy of your resume  at an earliest