Data Scientist
Overview
Join our data science team to develop advanced analytics solutions, machine learning models, and AI-driven insights for clients across commercial and government sectors. This role focuses on extracting actionable intelligence from complex datasets to drive strategic business decisions.
Key Responsibilities
Advanced Analytics & Modeling
Develop predictive and prescriptive analytics models using statistical and ML techniques
Design and implement recommendation systems, forecasting models, and optimization algorithms
Conduct exploratory data analysis and feature engineering on large, complex datasets
Build and validate models for classification, regression, clustering, and time series analysis
AI/ML Implementation
Develop machine learning pipelines from data ingestion to model deployment
Implement deep learning models for computer vision and natural language processing
Work with Large Language Models (LLMs) for text analysis and generation tasks
Optimize model performance and implement A/B testing frameworks
Business Intelligence & Visualization
Create interactive dashboards and visualizations using Tableau, Power BI, or similar tools
Translate complex analytical findings into actionable business recommendations
Collaborate with stakeholders to define KPIs and success metrics
Present findings to technical and non-technical audiences
Required Skills and Qualifications
Education & Experience
Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, or related field
5+ years of hands-on data science experience in production environments
Experience with end-to-end ML project lifecycle
Technical Skills
Programming: Advanced Python, R, SQL; familiarity with Scala or Java
ML Libraries: Scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, NumPy
Big Data: Spark, Hadoop, distributed computing frameworks
Cloud Platforms: AWS SageMaker, Azure ML, GCP AI Platform
Visualization: Tableau, Power BI, matplotlib, seaborn, plotly
Preferred Qualifications
Government or DoD analytics experience
Experience with classified or sensitive data environments
Deep learning and neural network expertise
MLOps and model deployment experience
Preferred Skills
What We Offer
