Senior Data Scientist

stakeholder management business analytics mlops KPI Development pytorch sql database machine learning python programming

The Senior Data Scientist will develop predictive analytics solutions that translate operational and business health indicators into measurable metrics. The role will focus on forecasting, anomaly detection, risk identification, and recommendation models to support strategic decision-making., * Analyze complex operational datasets to identify trends, risks, and opportunities.

• Build forecasting and predictive models using time-series techniques.
• Develop anomaly detection and recommendation engine capabilities.
• Perform feature engineering, model validation, and back-testing activities.
• Collaborate with business stakeholders to define measurable success metrics.
• Present analytical findings and recommendations to leadership teams.

• Strong Python-based data science experience (Pandas, Scikit-learn).
• Expertise in time-series forecasting and predictive modeling.
• Experience with feature engineering, model validation, and statistical analysis.
• Strong SQL skills and hands-on experience with Snowflake.
• Experience using Azure Machine Learning and code versioning tools such as GitHub.

Technology Stack:

• Python
• SQL
• Snowflake
• Azure Machine Learning
• GitHub
• Prophet or other forecasting libraries
• PyTorch (preferred), * Experience with resource and capacity planning analytics.
• Experience in utility or regulated industry environments.
• Knowledge of survival analysis and duration modeling techniques.

3.73.7 out of 5 stars New York, NY 10003 Hybrid work $50.85 - $79.46 an hour - Contract, Pulled from the full job description

• Health insurance
• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $50.85/hour - $79.46/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.