Chief Data ScientistData Analyst

Chief 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 Warfare (DoW) clients. Successful candidates will have excellent communication quantitative research and analytical skills and the ability to lead or principally contribute to several of the largest and most significant studies in Kalmans portfolio. This position will require occasional onsite meeting requirements in Arlington VA. As part of our team youll help our Government clients make well-informed data-driven decisions on some of the most impactful challenges facing the DoW. The salary range is $170K/yr-$190K/yr dependent upon commensurate experience. This position is contingent and tied to a government proposal.

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. As a Kalman Analyst you will collaborate with military leaders engineers developers technicians logisticians and financial managers to collect analyze and communicate information that will help ensure the success of programs that are critical to the United States DoW and our allies.

Benefits:

• Engage with motivated and highly skilled teammates to solve the Governments most challenging analytical problems by developing decision analyses for military and civilian leaders.
• Join a diverse inclusive and growing team that fosters a supportive and encouraging environment to explore a variety of unique projects and clients for career success and fulfillment.
• Take advantage of a competitive salary along with a generous benefits package and paid opportunities for learning and professional development as well as on-the-job training and growth

Duties/Responsibilities:

• Develop solutions in a highly collaborative and agile environment.
• Demonstrated history of driving research and development initiatives in machine learning and Artificial Intelligence exploring cutting-edge technologies and methodologies to keep the organization at the forefront of data science advancements.
• Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components.
• 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.
• Build and utilize data visualizations including dashboards and reports to deliver solutions sourcing a variety of data including authoritative sources.
• 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.

Required Education/Qualifications

• US Citizenship.
• Active Secret Security Clearance.
• Have a strong understanding of DoW systems and processes.
• Bachelors degree in mathematics Statistics Computer Science Physical Science Engineering or related field
• 10 years of experience as a data scientist and 5 years of experience supporting solutions implemented in DoW.
• Excellent data gathering and analytical skills.
• Ability to lead detail-oriented tasks and multi-task under minimal supervision.
• 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.
• Excellent oral and written communication skills.

Kalman & Company Inc. maintains a drug-free workplace and performs pre-employment and random substance abuse testing and background verification checks.

Preferred Education/Qualifications

• Experience supporting the USAF.
• 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