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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** SUSTAINMENT LLC - **Location:** Austin, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Engineering, Document-Oriented Databases, Python (Programming Language), Machine Learning, Raw Data, Standard Sql, Search Technologies, Unstructured Data, Google Cloud, Large Language Models, Snowflake, Generative AI, Semi-structured Data, Data Management, Machine Learning Operations, GPT, Databricks - **Published:** June 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f3df8fdd2da37ed9 ## About the Role Do you have experience in Tooling?, * [REQUIRED] Must be eligible to obtain and maintain a U.S. Secret or Top Secret security clearance * 4+ years of experience in Data Science, Applied ML, Analytics, or a related data-focused role * Strong proficiency in Python and SQL * Demonstrated experience working with unstructured or semi-structured data * Experience with experimentation, statistical analysis, and predictive modeling * Comfortable building dashboards and reporting layers * Active user of AI tools (Claude, ChatGPT, or similar) for data workflows * Familiarity with production ML systems and modern data tooling * Business intuition with the ability to connect analysis to outcomes and ask strategic questions about data coverage, quality, and collection * Experience working cross-functionally with Product and Engineering teams Nice to have: * Background in or adjacent to manufacturing, defense, aerospace, or industrial sectors (strong preference) * Experience with NLP, entity resolution, or AI-assisted classification pipelines * Exposure to vector databases or semantic search concepts * Experience with LLMs or Generative AI applications * Familiarity with modern cloud and data platforms (Snowflake, Databricks, AWS, GCP) * Experience building self-serve analytics or experimentation platforms * Experience working in a Series A/B startup environment, Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. ## Description * Lead end-to-end data heavy projects through product, growth, operations, and customer experience; from problem framing through deployment and measurement * Identify, evaluate, and connect to new sources of unstructured and semi-structured data relevant to U.S. manufacturing * Build and maintain reporting pipelines and dashboards that translate raw data into clear analytics for stakeholders * Design and analyze experiments including A/B testing, causal inference, and uplift analysis * Develop scalable datasets, metrics, and analytical frameworks * Develop and document data collection strategies and thinking systematically about coverage, quality, and freshness across Sustainment's data assets * Apply AI-assisted workflows to enrich, normalize, and classify unstructured data * Partner with Product and Engineering to operationalize models, software, and insights * Collaborate with product and engineering to tie data quality directly to product outcomes: match rates, recommendation precision, and profile completeness * Maintain and improve Sustainment's data quality standards by identifying gaps and driving enrichment initiatives * Mentor junior and mid-level data practitioners and help shape data quality, governance, and experimentation best practices * Present findings and recommendations to cross-functional stakeholders and produce strategy documents that inform quarterly prioritization ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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