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Senior Associate, Federal Data Scientist
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- Collaborate with multi-disciplinary and cross-functional teams to identify business opportunities and develop machine learning and data science solutions, utilize processes and best practices to plan, lead execute delivery of data analytics and AI engagements for state and federal government clients and work with government clients to manage risks, set expectations and ensure successful delivery of projects
- Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns; perform machine learning, natural language, and statistical analysis methods, such as classification, cluster analysis, collaborative filtering, sentimental analysis, language modeling, time-series analysis, regression, statistical inference, etc.
- Develop skills in building and managing production - ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration and model managements in cloud environments
- A minimum of three years of developing data analytics, machine learning models (predictive models, classifications, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection, etc.)
- Ability to apply data science, AI, or machine learning techniques to achieve concrete business goals, ability to work with the business to understand available resources and constraints around data (sources, integrity and definitions); provide assistance and resolve problems, using solid problem-solving skills with strong verbal and written skills
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