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Job Summary:
BTI360 is a company focused on developing software engineers and has been recognized as a top workplace. They are seeking a passionate Data Scientist to transform raw data into meaningful insights that drive strategic decision-making, working closely with engineers and mission teams to tackle complex business problems using machine learning and AI technologies.
Responsibilities:
• Lead end-to-end machine learning projects from problem definition to production, leveraging pre-trained models and LLMs for rapid prototyping, then using data-driven evaluation to determine when to invest in custom solutions such as fine-tuned models or purpose-built small language models.
• Design and conduct rigorous model evaluations using industry-standard methodologies, including developing custom evaluation frameworks for clustering, classification, embeddings, and entity resolution systems.
• Translate business requirements into quantitative problems and communicate technical findings to both technical and non-technical stakeholders through reports, presentations, and direct customer engagement.
• Drive technical decision-making for model selection, including evaluating embeddings models, LLMs, and other ML systems against business requirements and performance benchmarks.
• Optimize existing systems by identifying data quality issues, implementing performance improvements, and developing novel approaches that deliver measurable improvements in key metrics.
• Stay current with ML advances and introduce new techniques and frameworks to the team, including participating in or presenting at industry conferences
• Apply statistical methods to validate findings and support data-driven decisions.
• Develop reports and whitepapers that evaluate solution alternatives based on impact, cost, technical feasibility, and alignment with strategic goals.
• Collaborate across teams to align on strategy, provide data science expertise, and contribute to proposals and strategic initiatives.
• Mentor junior data scientists by providing technical guidance, defining project direction, and sharing best practices in model development and evaluation.
Qualifications:
Required:
• Active TS/SCI with Polygraph
• 3+ years of experience in data science or machine learning roles with demonstrated impact on production systems.
• Deep expertise in NLP and modern ML techniques including embeddings, clustering, classification, and working with LLMs.
• NLP experience including feature engineering and modeling for text data.
• Knowledge of ML evaluation metrics appropriate for various use cases.
• Proven track record of model evaluation using appropriate metrics and methodologies for different problem types (precision/recall, silhouette scores, benchmarks, etc.).
• Strong scripting skills with experience in AI/ML frameworks (scikit-learn, PyTorch/TensorFlow, transformers) and data manipulation libraries, including proficiency with Jupyter notebooks for exploratory analysis and experimentation.
• Basic software engineering practices such as git, CI/CD, code reviews, documentation, and ability to access and leverage remote APIs.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Excellent communication skills with experience translating technical metrics into business value and presenting findings to leadership and customers.
• Ability to work independently
• Candidates must maintain a primary residence within a two‑hour drive of Herndon, VA to support onsite collaboration as needed.
Preferred:
• Strong Python programming skills
• Experience integrating ML models into production systems.
• Experience customizing or fine‑tuning LLMs (LoRA, distillation, etc.).
• Experience with large or multimodal datasets.
• Proficiency in SQL and Elasticsearch/Elastic Stack for building evaluation datasets and querying production data systems.
• Experience leading technical initiatives
Company:
BTI360 develops and delivers big data software solutions to minimize the time spent on research and utilize time providing insights. Founded in 2004, the company is headquartered in Ashburn, USA, with a team of 51-200 employees. The company is currently Growth Stage.