Job Title: Lead Data ScientistJob Location: Reston, VA - RemoteDuration: 12 Months
Job Description: Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modelling, 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.
Essential Functions:- 20% Leads all data mining and extraction activities and applies algorithms to derive insights.
- 15% Synthesizes analytical findings for consumption by the teams and senior executives.
- 15% Leads proliferation of machine learning and artificial intelligence solutions.
- 15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
- 15% Mentors and develops junior data scientists for advanced data analysis.
- 10% Translates business priorities and creates data science deliverables.
- 10% Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.
Qualifications:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education Level: Bachelor's Degree
Education Details: Statistics, Mathematics, Computer Science or related field
In Lieu of Education: In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 8 years of relevant work experience.
Preferred Qualifications:- Ability to communicate effectively and document objectives and procedures., Expert
- 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 modelling applications., Expert
- Proficiency in advanced SQL in multiple syntaxes., Expert
