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 is also desirable. 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 advanced data analytics using best practices in the latest technologies.
* Develop solutions to enable metadata/rules engine-driven data analytics applications leveraging open source and/or cloud 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 data collection and structuring.
* Collect, audit, compile, and validate data from multiple sources.
* Interpret data, analyze results using statistical techniques or relational databases, and produce reports to meet client and business needs.
* Communicate and work with diverse organizations and representatives for data collection, analysis, and presentation of results.
* Provide thought leadership demonstrating an understanding of the customer mission and innovative ideas to address business challenges.
* Work autonomously and as part of a team to meet organizational and project goals.
* Lead in the preparation of briefing materials and other communication packages presenting analysis results.
* Support on-site delivery in the Quantico and Stafford areas.
Skills and Qualifications Required:
* US Citizenship is required.
* Active Secret Security Clearance or the ability to obtain one.
* Proficiency in Microsoft Excel and experience working with large data sets.
* Advanced Microsoft Power BI skills, including development of models and data architectures using DAX and Power Query.
* Excellent data gathering and analytical skills.
* Excellent oral and written communication skills.
* Strong understanding of DoD systems and processes.
* Ability to lead detail-oriented tasks and multi-task under minimal supervision.
Education and Experience:
* Bachelor’s degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering, or a related field.
* 5+ years supporting solutions implemented in DoD.
* 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 (e.g., scikit-learn, pandas, plotly, shiny) to develop predictive analyses and machine learning models.
Additional Experience:
* Experience with cloud computing/storage, 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 with Databricks.
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