Job ID: JOB_ID_6006
Job Summary:
Identifies and solves 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. Acting as a liaison and interface between analytics, business units and other departments.
Essential Functions:
- 20% Leads data mining and extraction activities and applies algorithms to derive insights.
- 20% Uses data to understand the data profile and its limitations and applies it to business solutions.
- 15% Collaborates with business units to innovate organizational performance.
- 15% Explores data patterns using existing data science tools.
- 10% Translates business priorities to data science deliverables.
- 10% Implements new data products and builds robust and scalable software.
- 10% Leads/Guides DS on implementing best practices for projects and applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
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
- Experience: 5 years of relevant work experience.
- 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.
Preferred Qualifications:
- Knowledge, Skills and Abilities (KSAs):
- Ability to work independently without detailed guidance., Advanced
- Ability to communicate effectively and document objectives and procedures., Advanced
- Ability to leverage a variety of data science tools and frameworks., Advanced
- Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Advanced
- Knowledge of software engineering principles and practices., Advanced
- Proficiency in statistical modeling applications., Advanced
- Proficiency in advanced SQL in multiple syntaxes., Advanced
The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes them ineligible to perform work directly or indirectly on Federal health care programs. Must be able to effectively work in a fast-paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time. Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
Special Requirements
Hybrid (once a month or every other month on site), MOI: Video, Must have build AI/ML Models/products/tools, Must have LLMs, Generative AI, Agentic AI is a plus, Strong engineering skills (optimize code, build solutions, production ready), Must be able to effectively work in a fast-paced environment with frequently changing priorities, Must be able to meet established deadlines and handle multiple customer service demands.
Compensation & Location
Salary: $120,000 – $180,000 per year (Estimated)
Location: Reston, VA
Recruiter / Company – Contact Information
Recruiter / Employer: Stellent IT
Email: ti.sikarwar@stellentit.com
Recruiter Notice:
To remove this job posting, please send an email from
ti.sikarwar@stellentit.com with the subject:
DELETE_JOB_ID_6006