Senior Data Scientist - FFPP-8757

Innovative Systems & Solutions | Full time - Onsite

Senior Data Scientist - FFPP-8757

Annapolis Junction, United States | Posted on 03/17/2026

Innovative Systems & Solutions (ISS) works with a wide spectrum of talent to establish an atmosphere that stimulates creativity, constant progress, and achievement. At ISS, you will have the chance to immediately impact government transformation and our clients' missions by offering information solutions and services to Federal and Department of Defense (DoD) customers. Employees at ISS can look forward to exciting career opportunities.

Job Description

About the Role

A data scientist will develop machine learning, datamining, statistical and graph-based algorithms to analyze and make sense ofdatasets; prototype or consider several algorithms and decide upon final modelbased on suitable performance metrics; build models or develop experiments togenerate data when training or example datasets are unavailable; generatereports and visualizations that summarize datasets and provide data-driveninsights to customers; partner with subject matter experts to translate manualdata analysis into automated analytics; implement prototype algorithms withinproduction frameworks for integration into analyst workflows.

Key Responsibilities

• Producedata visualizations that provide insight into dataset structure andmeaning
• Workwith subject matters experts (SMEs) to identify important information inraw data and develop scripts that extract this information from a varietyof data formats (e.g., SQL tables,structured metadata, network logs)
• IncorporateSME input into feature vectors suitable for analytic development andtesting
• Translatecustomer qualitative analysis process and goals into quantitativeformulations that are coded into software prototypes
• Developand implement statistical, machine learning, and heuristic techniques tocreate descriptive, predictive, and prescriptive analytics
• Developstatistical tests to make data-driven recommendations and decisions
• Developexperiments to collect data or models to simulate data when required datais unavailable
• Developfeature vectors for input into machine learning algorithms
• Identifythe most appropriate algorithm for a given dataset and tune input andmodel parameters
• Evaluateand validate the performance of analytics using standard techniques andmetrics(e.g. cross validation, ROC curves, confusion matrices)
• Overseethe development of individual analytic efforts and guide team in analyticdevelopment process
• Guideanalytic development toward solutions that can scale to large datasets
• Partnerwith software engineers and cloud developers to develop productionanalytics
• Developand train machine learning systems based on statistical analysis of datacharacteristics to support mission automation

Requirements

Qualifications

This position requires in-scope poly, within 7 years.

Bachelor's degree from an accredited college oruniversity in a quantitative discipline (e.g.,statistics, mathematics,operations research, engineering or computer science). Five (5) years ofexperience analyzing datasets and developing analytics, five (5) years ofexperience programming with data analysis software such as R, Python, SAS, orMATLAB. An additional four (4) years of experience in software development,cloud development, analyzing datasets,or developing descriptive, predictive,and prescriptive analytics can be substituted for aBachelor's degree. A PhDfrom an accredited college or university in a quantitative discipline can besubstituted for four (4) years of experience.

• ProgrammingLanguages: Proficiency in programming languages such as Python and R iscrucial for data manipulation, analysis, and implementing algorithms.Python is favored for its simplicity and extensive libraries (likeNumPyand pandas), while R is preferred for statistical analysis and datavisualization.
• StatisticalAnalysis: A strong foundation in statistics and probability is necessaryfor analyzing data accurately and making informed decisions. Understandingconcepts like regression analysis, hypothesis testing, and statisticaldistributions is essential.
• MachineLearning: Knowledge of machine learning algorithms and frameworks (such asTensorFlow and Scikit-Learn) is vital for building predictive models andautomating decision-making processes.
• DataWrangling: The ability to clean and organize complex datasets is critical.Data wrangling involves transforming raw data into a usable format, whichis often time-consuming but necessary for effective analysis.
• DatabaseManagement: Familiarity with SQL and database management systems (likePostgreSQL and MongoDB)is essential for extracting and manipulatingdata stored in relational databases.
• DataVisualization: Skills in data visualization tools (such as Tableau andMatplotlib) help communicate findings effectively. Creating charts,graphs, and dashboards is crucial for making data understandable tostakeholders.

Salary Range 200-215,000

salary range provided is a general guideline. ISSI considersseveral factors when determining compensation, including the role’sresponsibilities, candidate experience, education, skills, and current marketconditions.

What We Offer

ISSI provides a highly competitive benefits package,including:

• 401(k)with matching contributions
• Health,Dental, and Vision coverage
• Employer-fundedHealth Savings Account (HSA)
• Lifeand AD&D insurance
• Short-Termand Long-Term Disability coverage
• Businesstravel and expense reimbursement
• Employeereferral program with cash bonuses
• Employeerecognition program
• Tuitionand training reimbursement

Who Is ISSI?

ISSI is a growing management and technology consulting firm specializing in systems and software solutions. Our team is dedicated todelivering exceptional results for both our clients and employees.

Since our inception, we have focused on developinginnovative solutions that help organizations achieve their goals. We prideourselves on collaboration, technical excellence, and staying at the forefrontof emerging technologies.

Equal Opportunity Employer

ISSI is proud to be an Equal Opportunity Employer. Allemployment decisions—including hiring, promotion, discipline, andtermination—are based on merit and business needs. We do not discriminate on the basis of race, color, religion, age, genetic information, or any other protected status under federal, state, or local law.

Innovative Systems & Solutions is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.