Lead Data Scientist/Data Analyst
Kalman & Company
- Virginia, Minnesota, United States
- Virginia, Minnesota, United States
Über
Essential Job Functions
Architect, design, code, and implement next-generation data analytics using best practices and the latest technologies.
Develop solutions to enable metadata/rules engine-driven data analytics applications using 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.
Skills and Qualifications Required
US citizenship is required.
Active Secret Security Clearance or the ability to obtain a Secret Security Clearance.
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 of experience 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 and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.
Preferred 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).
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Sprachkenntnisse
- English
Hinweis für Nutzer
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