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Lead Data Scientist/Data Analyst

Kalman & Company is seeking a highly motivated, performance-driven individual with strong data analysis experience to work closely with our Department of Defense (DoD) client in the Northern VA area. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the capability to lead, or principally contribute to, several of the largest and most significant studies in the company's portfolio. Experience in financial management, logistics, engineering, and/or program management domains are also preferred. As part of our team, you’ll help our Government clients make well-informed, data-driven decisions on some of the most impactful challenges facing the DoD. On-site support will be required as needed in the Quantico, VA and Stafford, VA areas.

A career with Kalman & Company is both rewarding and challenging. Our clients require skilled, hardworking, and innovative professionals who can meet the demands of a dynamic and fast-paced workplace. The analyst position will include, but is not limited to, the following capabilities:Essential Job Functions:

• Architect, design, code, and implement next-generation data analytics using best practices in the latest technologies.
• Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components.
• Develop solutions in a highly collaborative and agile environment.
• Lead efforts in collecting, normalizing, and analyzing complex data.
• Work directly with stakeholders to understand their needs and requirements and apply these to the build/test phase of reports and dashboards.
• Identify opportunities to streamline reporting to make processes more automated and less manual.
• Develop and manage business intelligence solutions for the organization.
• Utilize data visualization tools like Power BI to deliver solutions sourcing a variety of data.
• Build data visualizations including dashboards and reports.
• Document data profiling and quality assurance results, data dictionaries and analytical findings.
• Use data to create predictive models and trend analysis.
• Collaborate with colleagues for the purpose of collecting and structuring data.
• Collect, audit, compile, and validate data from multiple sources.
• Interpret data, analyze results using statistical techniques or relational databases and produce ongoing as-needed reports to meet client and/or business needs.
• Communicate and work with diverse organizations and representatives for data collection, analysis, and results presentation.
• Provide thought leadership clearly demonstrating an understanding of the customer mission and innovative ideas to address business challenges of the customer.
• Work autonomously and as part of a team to meet organizational and project goals.
• Lead in the preparation of briefing materials and other communications packages presenting the results of analysis.
• Support on-site delivery in the Quantico and Stafford areas.

Required Education/Qualifications

• US Citizenship.
• Active Secret Security Clearance or ability to obtain a Secret Security Clearance.
• 5+ years of experience supporting solutions implemented in DoD.
• Proficiency in Microsoft Excel and experience working with large data sets.
• Advanced Microsoft Power BI skills, to include demonstrated development of models and data architectures using DAX and Power Query editor.
• Excellent data gathering and analytical skills.
• Excellent oral and written communication skills.
• Have a strong understanding of DoD systems and processes.
• Ability to lead detail-oriented tasks and multi-task under minimal supervision.

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering or related field
• Experience in statistical modeling.
• Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL.
• Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.:

Preferred Education/Qualifications

• Experience with cloud computing/storage and data lakes/warehouses.
• Experience with Spark and ML applications.
• Experience with Scala, Java
• Experience with Robotic Process Automation (RPA) (e.g., UiPath)
• Experience with Natural Language Processing (NLP)
• Experience in Databricks