Data Scientist, Level 3
Role details
Job location
Tech stack
Job description
You will leverage Python, Jupyter Notebooks, and modern data science toolsets to develop analytical models, automate workflows, and generate visual insights. You will also support SIGINT and RF data analysis, including PROFORMA datasets, and contribute to advanced analytic solutions.
In this role, you will support the development of advanced AI capabilities including Agentic AI systems and Retrieval Augmented Generation (RAG). You will evaluate and optimize machine learning models, including performance in resource-constrained environments.
Additional responsibilities include working with geospatial data, applying pandas for data manipulation, and developing data pipelines using modern frameworks. Experience with visualization tools such as Plotly, Shapely, GeoPandas, or similar is highly desirable., * Apply mathematical, statistical, and computational techniques to analyze complex datasets
- Develop and optimize data pipelines, including automation and data transformation workflows
- Design and implement machine learning models and advanced analytics solutions
- Analyze SIGINT, RF, or PROFORMA datasets to support mission requirements
- Develop data visualizations and dashboards to communicate insights
- Translate mission requirements into technical data solutions
- Support development of AI/ML capabilities including RAG and Agentic systems
Requirements
- Strong Python programming experience and proficiency with Jupyter Notebooks
- Experience with pandas, NumPy, and data manipulation frameworks
- Experience with data visualization tools such as Plotly, Kibana, or similar
- Knowledge of Elasticsearch, Splunk, or similar data platforms
- Understanding of AI/ML frameworks and statistical modeling techniques
- Experience with workflow automation and optimization of data pipelines
- Experience working with SIGINT, RF, or PROFORMA datasets is strongly preferred
- Background in geospatial data processing is a plus
- Front-end or dashboard experience using HTML, Bootstrap, or Pyodide is a plus, * Master's degree with 8 plus years of relevant experience or
- Bachelor's degree with 10 plus years of relevant experience or
- Associate degree with 12 plus years of relevant experience
Acceptable Degree Fields:
- Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
- Related fields such as Computer Information Systems, Engineering, or Physical Sciences with a strong computational focus
- Other scientific disciplines may qualify if accompanied by 5 or more upper level courses in mathematics 300 level or higher and or computer science
- Broader degrees may be accepted if supported by a Data Science Certificate from an accredited institution
Clearance Requirement:
- Must possess an active TS SCI with appropriate Polygraph to be considered for this role, No answerGED or EquivalentHigh SchoolSome CollegeCollege - AssociatesCollege - Bachelor of ArtsCollege - Bachelor of Fine ArtsCollege - Bachelor of ScienceCollege - Master of ArtsCollege - Master of ScienceCollege - Master of Fine ArtsCollege - Master of Business AdministrationCollege - DoctorateMedical DoctorOther
College or University
LinkedIn Profile URL:
Desired salary
Earliest start date?
Do you possess an active and current TS/ SCI clearance?* -- No answer --YesNo
Do you possess an active and current Polygraph?* -- No answer --Yes CI PolygraphYes Full Scope PolygraphNo
If yes, what agency conducted the polygraph? Note: The Department of Defense (DoD) itself does not conduct polygraphs. Please list the specific agency within the IC that issued your polygraph.*
How many years of professional experience do you have in data science, data analytics, or related roles?*
Do you have hands-on experience using Python (including Pandas) for data manipulation and analysis?* -- No answer --YesNo
Do you have experience building or maintaining data pipelines for batch or incremental data ingestion (ETL processes)?* -- No answer --YesNo
Have you worked with large-scale or complex datasets (e.g., noisy, unstructured, or high-volume data)?* -- No answer --YesNo
Which of the following have you worked with extensively? (Select all that apply)* Machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)Statistical modelingData cleaning and transformationLarge dataset analysisExploratory data analysisHypothesis testingInference modelingPipeline/workflow automation
Do you have experience using Jupyter Notebooks for data analysis, modeling, or workflow development?* -- No answer --YesNo
Do you have experience applying machine learning or statistical modeling techniques to real-world data problems?* -- No answer --YesNo
Do you have experience creating data visualizations or dashboards using tools such as Power BI, Tableau, or similar?* -- No answer --YesNo
Do you have experience working with network data, SIGINT data, or RF-related datasets?* -- No answer --YesNo
Benefits & conditions
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Competitive salary
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Company Sponsored Health, Dental, and Vision Insurance plans
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Company Paid Long Term Disability, Short Term Disability and Life Insurance
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Employee Assistance Program
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Your retirement plan is an important benefit you shouldn't overlook. We offer a 401(k) Profit Sharing Plan and Trust that offers a powerful way to enhance your long-term financial well-being by investing in yourself. We offer immediate eligibility and company matching.
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A generous Paid Time Off and Holiday package
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Paid training! We encourage all employees to seek out training opportunities like conferences, certification courses and seminars.
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We truly believe the right work-life balance can exist, and it's here at Independent Software. Our work is extremely important, but your job is just a part of who you are. When you enjoy your life outside of our walls, you're at your best the next time you walk through our doors. We do all we can to assure that happens every day. Independent Software is an Equal Opportunity Employer EOE, M/F/D/V., At Independent Software, our people are the mission. We've built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive. When you join us, you will:
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Support critical national security missions that matter
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Be part of a close-knit, employee-first culture where your voice is heard
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Expand your skills through ongoing training, mentorship, and career development
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Enjoy competitive compensation, generous benefits, and work-life balance
Ready to take the next step in your career? Join us and be part of something bigger.