TS/SCI Mid Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data science, machine learning, and natural language processing (NLP) to design, implement, and optimize ML models. You will work with large-scale data systems and streaming data environments to deliver impactful solutions.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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You Have:
· 5+ years of experience in applied data science or ML roles, with strong Python skills and experience in NLP and LLM implementation
· 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
· Exposure to production-level systems, data lake environments, and streaming data (e.g. Kafka)
· Experience implementing end-to-end ML workflows, from data prep to deployment and evaluation
· Ability to quickly learn infrastructure or systems concepts (e.g. how pipelines interface with data lakes)
· Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search
· Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week
· TS/SCI clearance

· Experience collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines
· Experience supporting platform components such as distributed storage (e.g. Cloudera), documents indexing/search, and GPU workloads
· Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
· Experience with Distributed data/computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL
· Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Bachelors degree

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.