Data Scientist, Level 2
About The Position
Chippewa Government Solutions LLC, a Sault Tribe Inc. (“STI Federal”) company, is searching for a dynamic and skilled Journeyman Data Scientist to be a key part of our expanding team! At STI Federal, we drive growth through strategic government contracting, fulfilling our mission to support the Sault Ste. Marie Tribe of Chippewa Indians. Our company reinvests 100% of its profits into tribal businesses or community programs, enhancing the well-being of over 52,000 tribal citizens. Our work empowers federal agencies and strengthens some of the nation’s most critical initiatives, while fostering opportunities for skilled professionals to make a meaningful impact.
Requirements
- Strong statistical analysis and modeling skills with the ability to independently manage analytical workstreams.
- Ability to collect, evaluate, and interpret data with precision and attention to detail.
- Experience developing algorithms, computational models, or decision-support systems.
- Proficiency in data visualization tools (e.g., Tableau, Power BI, Python visualization libraries).
- Excellent communication skills with the ability to interpret complex findings for non-technical audiences.
- Proficiency with Microsoft Office Suite and willingness to learn DOE systems such as STRIPES, FAST, PAGE, and PMC.
- Salesforce platform expertise.
- BA/BS or MA/MS degree.
- 3 to 10 years of relevant data science or statistical analysis experience.
- Performs all functional duties independently at the journeyman level.
- Ability to obtain and/or maintain a federal clearance up to Top Secret/DOE Q clearance levels.
Nice To Haves
- Experience performing data analysis or modeling for DOE programs, energy systems, critical minerals research, or applied energy initiatives.
- Familiarity with IIJA-funded programs and federal Technical Assistance structures supporting states, Tribes, and local governments.
- Experience developing analytical products used for program evaluation, R&D commercialization pathways, or supply chain forecasting.
- Knowledge of federal reporting requirements and DOE data environments (e.g., energy datasets, grant/recipient reporting systems).
- Experience verifying scientific, environmental, or engineering-related data used in federal program documentation.
- Ability to create visual dashboards and briefings for DOE cross-office leadership.
Responsibilities
- Oversee project workstreams involving statistical analysis, ensuring quality, accuracy, and compliance with DOE/CMEI standards.
- Identify which datasets are available, accessible, and useful for specific TA projects and program evaluations.
- Collect, categorize, clean, transform, and analyze data from DOE systems, TA recipients, subcontractors, and program offices.
- Create, validate, test, and refine algorithms and models used for program forecasting, decision support, and performance analysis.
- Use data visualization software to present findings clearly to DOE leadership, stakeholders, and multidisciplinary teams.
- Ensure all analytical outputs meet quality‑assurance expectations and are error-free.
- Make actionable recommendations based on data trends, model results, and quantitative findings.
- Support transparency and data integrity across all analytical deliverables.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
