Data Scientist
- United States
Remote
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Job details
- Workplace
- Remote
- Experience
- 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
- Posting language
- English
Original job description
Location: Remote We are seeking a Data Scientist to support a Department of War (DoW) program. This role will focus on expanding the use of artificial intelligence and machine learning (AI/ML) to improve financial management processes, analytics, and decision-making. The ideal candidate brings strong hands-on experience with Databricks and modern AI/ML techniques, with a demonstrated ability to transform complex data into actionable insights. Experience applying AI/ML solutions within financial management, budgeting, forecasting, cost analysis, or related business domains is highly desired. This position offers the opportunity to work on high-impact initiatives supporting national defense through cutting-edge data science and analytics capabilities.
Responsibilities
- Identify, evaluate, and implement high-value AI/ML use cases that improve financial management processes, analytics, and decision-making.
- Develop, train, evaluate, and operationalize AI/ML models and advanced analytics solutions using Databricks.
- Analyze and transform complex datasets from legacy enterprise systems, addressing data quality and integration challenges to enable reliable analytics.
- Develop predictive analytics, forecasting, anomaly detection, and automation solutions to support financial and business operations.
- Collaborate with functional stakeholders, data engineers, and technical teams to translate business challenges into data-driven solutions.
- Evaluate emerging AI/ML techniques and tools for applicability to customer requirements, balancing innovation with practical implementation.
- Communicate analytical findings, model results, and recommendations through visualizations, dashboards, and presentations
Required Qualifications
- Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
- Strong hands-on experience with Databricks and the end-to-end AI/ML lifecycle.
- Proficiency in Python, PySpark, SQL, and modern ML frameworks.
- Experience developing, evaluating, and implementing AI/ML models or advanced analytical solutions.
- Experience working with complex datasets, including data preparation, transformation, and quality assessment.
- Strong analytical problem-solving skills and the ability to translate business requirements into technical solutions.
- Effective communication skills and ability to collaborate with both technical and nontechnical stakeholders.
- Active Secret clearance or ability and willingness to obtain one (requires U.S. citizenship).
Preferred Qualifications
- Air Force or broader DoW financial management experience, including familiarity with financial systems, accounting, budgeting, forecasting, or cost analysis
- Experience applying AI/ML to financial management, including forecasting, anomaly detection, reconciliation, or process automation.
- Experience working within War Data Platform (WDP), Palantir Foundry/Envision, or other DoW enterprise analytics environments.
- Experience applying AI/ML to financial management, budgeting, forecasting, cost analysis, or related business functions.
- Familiarity with MLOps, model monitoring, and cloud-based analytics environments.
About ILW At Illumination Works, we know data, and we should, we’ve been doing it since we started in 2006! We specialize in everything data from big data to data science, data engineering, software engineering, and cloud design. We are a trusted technology partner in user-centered digital transformation - delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges and stay on top of modern technologies and advancements leveraging our Innovation Lab. Check out our website to learn more at www.ilwllc.com. Why choose us? We invest in our employees in all aspects of their life and we value family. We offer market-competitive salary, a generous PTO package, and comprehensive medical, dental, vision and life insurance plans. We also offer 401K, short/long-term disability insurance, a fun and engaging culture, and training opportunities to keep you up to speed on the latest technologies. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. Know Your Rights Poster E-Verify Participation Poster (uscis.gov)
Accommodations If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Human Resources Staff by sending an email to ILW_HR@ilwllc.com. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries.
Notification for current or previously cleared professionals:
Official U.S. Government information appearing in the public domain shall not automatically be considered UNCLASSIFIED or approved for public release. ILW recognizes that information contained in resumes of current or previously cleared professionals may be sensitive, containing potentially proprietary and/or protected information. Protected Information is considered classified, in the process of a classification determination, or unclassified, but protected by statute. Therefore, all resumes should be approved for public release by a U.S. Government Official with Original Classification Authority, prior to posting the resume to ILW’s applicant tracking system. By submitting my resume, I understand that I am NOT authorized to upload content with Official U.S. Government information that is considered, sensitive, proprietary, or protected.
More about this job
Skills
- ML
- Financial management
- Decision making
- Databricks
- Forecasting
- Communicate analytical insights
- Presentation skills
- Computer science
- Statistics
- Machine learning
- Python
- PySpark
- SQL
- Problem solving
- Communication skills
- Budget management