What are the responsibilities and job description for the Data Scientist position at GEOSPARK ANALYTICS DBA SEERIST FEDERAL?
Company Overview:
Join Seerist, a leading provider of AI-driven, augmented analytics for threat and risk intelligence, designed to help commercial organizations and government anticipate, monitor, and manage global risks. Seerist delivers real-time insights, forecasts, and alerts that bring clarity to decisions and save valuable time for security and intelligence teams. Every day, Seerist helps our customers support their operations and missions globally, ensuring informed, rapid decisions.
Job Description:
We're looking for someone to fill a unique seat on the product team. A builder who sits at the intersection of data science, AI, and product development. The previous person in this role operated with high agency: they took fuzzy, early-stage concepts and turned them into working features end to end, collaborating closely with product leadership throughout the process. We need someone who can do the same, and help us scale that way of working across the organization.
This isn't a pure research role and it isn't a pure engineering role. It's for someone who listens, challenges ideas constructively, and then starts building, even when the problem isn't fully defined yet.
What You'll Do
- Work closely with our intelligence and product teams to create, build, and deliver novel, innovative capabilities powered by AI and machine learning.
- Apply machine learning, NLP/text analytics, and generative AI (including large language models) to real problems in the threat intelligence domain.
- Prototype rapidly, turning half-formed ideas into working demos that sharpen the team's thinking.
- Build and maintain production services on AWS, writing clean Python and JavaScript across the stack.
- Stay current on emerging AI/ML techniques and proactively surface "how could we use this?" opportunities relevant to Seerist's domain.
- Collaborate closely with product, engineering, and solutions teams to ensure what gets built actually solves customer problems.
What We're Looking For
Mindset & Working Style (This Is What Matters Most)
- Agency. You don't wait for a perfectly scoped ticket. You hear a fuzzy idea, ask the right questions, and start moving.
- Collaborative challenge. You push back thoughtfully when something doesn't make sense, and you welcome the same in return. The process of building is a conversation, not a handoff.
- Intellectual curiosity. You're always learning, reading papers, trying new tools, exploring adjacent domains, and you naturally connect what you're learning to what the team is building.
- Communication. You can explain complex technical concepts clearly to non-technical stakeholders, write well, and keep people in the loop without being asked.
Technical Skills
- Strong foundation in machine learning and data science — you've trained models, evaluated them rigorously, and put them into production.
- Hands-on experience with generative AI and large language models (fine-tuning, prompt engineering, RAG architectures, evaluation).
- Proficiency in Python for data/ML work and JavaScript for web development.
- Experience with text analytics and NLP, classification, extraction, summarization, entity resolution.
- Comfortable building and deploying on Amazon Web Services (Lambda, SageMaker, ECS, S3, etc.).
- Able to work across the stack, from data pipelines to APIs to front-end interfaces.
Background
- Bachelor's degree in a relevant field (computer science, data science, mathematics, or similar).
- Exceptional written and verbal communication skills, demonstrated through academic and professional experience.
- 3 years of professional experience in a role combining data science, ML engineering, or AI product development.
- Experience shipping ML/AI features in a product context (not just notebooks and research).
Nice to Have
- Familiarity with the threat intelligence, geopolitical risk, or security domain.
- Experience working in a startup or growth-stage environment where scope is fluid.
- Exposure to event-driven architectures or real-time data processing.
What Seerist offers:
- Opportunity to work in a fast-moving, high-growth SaaS company
- Competitive salary, bonus plan, 401(k) matching, and equity potential
- Comprehensive benefits including health, dental, vision, and life plans
- Strong, results oriented culture
- Remote and office-based work (3 days in Reston office each week)
- Paid Time Off
- Paid Parental Leave (16 Weeks Primary, 4 Weeks Secondary)
- Tuition Reimbursement
- Professional Development Stipend
Seerist is an equal opportunity employer. Seerist does not discriminate on the basis of race, religion, color, sex, sexual orientation, gender identity, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. #SF