Data Scientist

TEKsystems

1d•$55 - $70•Onsite

About The Position

One of TEKsystems top client's is looking to hire a Senior Data Scientist. Description Lead the development and production deployment of advanced forecasting models across operations. This role supports critical decision-making for multiple business units within the organization. This position will engage in end-to-end model development—from conception through production deployment, including advanced feature engineering, weather data integration via APIs, model optimization, and performance monitoring. The ideal candidate will design production-ready forecasting solutions integrated with internal systems, AWS cloud infrastructure, implementing robust error handling, alerting mechanisms, and recovery procedures. The successful candidate should possess deep expertise in time-series forecasting, machine learning operations, and building scalable data pipelines. They must demonstrate the ability to transform complex datasets into actionable forecasts that drive real-time operational decisions. We are looking for someone who has a passion for solving challenging forecasting problems and can deliver production-grade solutions in a dynamic operational environment with stringent accuracy requirements and time-sensitive obligations.

Requirements

Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels)
Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods)
Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance
API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering
Cloud & Infrastructure: Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices
Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimization
Dashboard Development: Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication

Nice To Haves

Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods
Energy markets and renewable generation forecasting domain expertise
Agile project management (Jira, Confluence)

Responsibilities

Lead end-to-end forecasting model development from conception through production deployment
Build automated retraining and evaluation frameworks with monitoring dashboards
Develop data connectors for weather APIs and data warehouse systems
Design scalable pipelines for real-time and batch forecasting operations
Create interactive dashboards (Streamlit) and present insights to stakeholders