Data Scientist - Power

About Client:

A leading power sector organization.

Roles& Responsibilities:

Responsibilities:

1. Analyze large timeseries data sets to identify patterns trends and anomalies.
2. Build test/validate ML/Deep learning models for timeseries data analytics.
3. Collaborate with crossfunctional teams to understand business requirements and provide datadriven solutions.
4. Development and Debugging code.
5. Work on global climatic models meteorological data plant energy data and plant performance and develop forecasts.
6. Apply statistical analysis and hypothesis testing techniques to validate/optimize models.
7. Implement iterative development processes to refine/improve data analytics models.
8. Stay updated with the latest advancements in timeseries data analytics machine learning and deep learning techniques.

Experience:

1. Data Scientist 2 5 years of proven experience in building machine learning and deep learning
2. Strong proficiency in Python and its data science libraries for timeseries data analytics.
3. Familiarity with timeseries analysis techniques
4. Hands on Experience R/Python
5. Experience with data preprocessing feature engineering and model evaluation for timeseries data.
6. Proficiency in linear/nonlinear modeling statistical analysis and hypothesis testing.
7. Strong problemsolving skills and the ability to work independently or as part of a team.
8. Excellent communication and presentation skills to convey complex concepts to both technical and nontechnical stakeholders.

Educational Qualifications:

1. Bachelors degree in computer science / data science / Statistics or a related field.

Remote Work :

No