Data Scientist Senior
About The Position
The Data Scientist will support the Data Stewardship Program in Colorado Springs, CO. As a Data Scientist you will be responsible for designing, implementing, and maintaining scalable data pipelines while analyzing complex datasets to drive meaningful insights. You will plan, execute, and manage end‑to‑end machine learning projects using cloud‑native platforms and advanced ML tools. Your work will draw on a broad range of methodologies—such as data mining, natural language processing, and machine learning—to solve challenging problems and enable data‑driven decision‑making. As a Data Scientist you will also be responsible for applying strong programming, mathematical modeling, and statistical expertise to build applied models and communicate results clearly to stakeholders. You will work with large structured and unstructured datasets using distributed SQL, relational and non‑relational data technologies, and languages such as Python and R. Your ability to translate analytical findings into actionable organizational value will be essential to success in this role.
Requirements
- Current DoW SECRET clearance.
- 1 year of related experience.
- Bachelor’s degree in a STEM field.
- Proficient with one or more programming languages (Java, C++, Python, R, etc.).
- Proficient in Agile Development and Git Operations.
- Demonstrated experience applying data science methods to real-world data problems.
- US Citizenship Required
Responsibilities
- Interpret and analyze data using exploratory statistical and mathematical techniques.
- Clean, prepare, and organize structured and unstructured data using programming tools.
- Conduct experiments on data and generate insights to solve complex data challenges.
- Partner with Data Engineers to build and support scalable data environments.
- Apply scientific methods, statistics, and algorithms to define problems and test hypotheses.
- Build predictive and prescriptive models, NLP solutions, clustering, forecasting, and other advanced analytics.
- Design and automate processes for large‑scale data manipulation and integration.
- Process and analyze large datasets using frameworks such as Spark and Hadoop.
- Conduct statistical modeling and develop visualizations using tools like Power BI, Tableau, or R Shiny.
- Design and implement algorithms using languages such as Python and R.
- Perform data engineering and modeling on cloud platforms such as Databricks, Snowflake, IBM Cloud Pak, or Cloudera.
- Communicate complex analytical results to non‑technical audiences through clear data storytelling.
Benefits
- Comprehensive benefits and wellness packages
- 401K with company match
- competitive pay
- paid time off
- full flex work weeks where possible
- variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
- short and long-term disability benefits
- life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
