What are the responsibilities and job description for the Lead Data Scientist position at Jobs via Dice?
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W2 Candidates only. Contract to Hire. Hybrid Reston, VA.
Vega is seeking an experienced Lead Data Scientist to support various GenAi and Machine learning projects.
The selected candidate will lead our clients team in Machine learning and artificial intelligence throughout the enterprise. Identify and resolve business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.
W2 Candidates only. Contract to Hire. Hybrid Reston, VA.
Vega is seeking an experienced Lead Data Scientist to support various GenAi and Machine learning projects.
The selected candidate will lead our clients team in Machine learning and artificial intelligence throughout the enterprise. Identify and resolve business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.
- Education Level: Bachelor's Degree
- Education Details: Statistics, Mathematics, Computer Science or related field
- Must have a strong back ground in Leading data mining and extraction activities and applies algorithms to derive insights.
- Must have experience leading implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.
- Ability to leverage a wide variety of data science tools and frameworks., Expert
- Ability to support data exploration and data analysis tasks in support of analytics objectives., Expert
- Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Expert
- Proficiency in statistical modeling applications., Expert
- Proficiency in advanced SQL in multiple syntaxes.,
- Synthesizes analytical findings for consumption by the teams and senior executives.
- Leads proliferation of machine learning and artificial intelligence solutions.
- Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data
- Mentors and develops junior data scientists for advanced data analysis. Translates business priorities and creates data science deliverables.
- Ability to communicate effectively and document objectives and procedures., Expert