Data Scientist
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Job description
Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington Top Workplaces honoree, is seeking a Data Scientist to support our growing team. The ideal candidate will be a Data Scientist to develop advanced analytical models and machine learning solutions that generate actionable insights for Federal Government programs. A strong candidate will have strong expertise in statistical modeling, machine learning, and data science methodologies. As a valued member of the SFI team, you will play a critical role in delivering mission-critical capabilities to our Federal Government customers., * Develop, train, validate, and deploy machine learning and statistical models to address program analytical challenges.
- Perform exploratory data analysis (EDA) to identify patterns, correlations, and anomalies in complex datasets.
- Collaborate with data engineers to access, prepare, and transform data for modeling and analysis.
- Communicate model findings, limitations, and recommendations to technical and non-technical stakeholders.
- Implement MLOps practices to operationalize and monitor deployed models.
- Design NLP models to support business operations.
- Evaluate and recommend AI/ML tools, frameworks, and platforms for program use.
- Produce data science documentation, including model cards, methodology reports, and technical papers.
- Other duties as assigned., * Clearance: Must be a U.S. Citizen with an active Secret security clearance or the ability to obtain one.
- Work Environment: On-site as required by the contract.
- This is a full-time, W2 position.
- No agencies, third parties, or Corp-to-Corp submissions.
- Spatial Front Inc. is an Equal Opportunity Employer - all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.
- SFI participates in E-Verify.
Requirements
- Bachelor’s in Statistics, Mathematics, Computer Science, or related field; Master’s preferred.
- 3 years of data analysis, 1 year of machine learning.
- Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive modeling.
- Must be a U.S. Citizen.
- Must possess an active Secret security clearance or be able to obtain one.
Desired Skills:
- Experience applying data science to DoD or federal agency mission problems.
- Familiarity with Oracle RDBMS 19c
- Experience with LLM models such as OpenAI, Gemini, Mistral, and Nova.
- Experience with ETL, FTL is a plus, including tools such as Ab Initio and Go Anywhere
- Familiarity with data visualization tools such as Power BI or Kibana.
- Understanding of AWS AI toolkit, including Sagemaker, Kiro, and AmazonQ.
- Proficiency with scikit-learn, TensorFlow, PyTorch, or R.
- Experience with cloud-based ML platforms
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