Senior Data Scientist- Rock Island, IL

About the role

The Senior Data Scientist position supports the US Army through projects for the Army Sustainment Command (ASC) and the Lead Material Integrator (LMI) at Rock Island, IL. This role involves performing advanced analysis and analytics, developing and applying algorithms, and addressing complex analytical challenges.

Responsibilities

• Perform advanced analysis and analytics to produce algorithms and/or business process recommendations.
• Develop and use data, algorithms, and analyses to identify and apply mechanisms to both overcome impediments to materiel readiness and exploit opportunities to improve readiness through feasible, cost-effective software and business process improvements.
• Forecast and address complex analytical challenges and identify the challenges and opportunities within systems, develop comprehensive solutions, and incorporate these capabilities solutions into software and workflows.
• Develop analytics and process solution sets, ensuring the criteria for recommended algorithms and processes include efficiency and simplicity.
• Regularly identify and communicate courses of action required for program and project success, including appropriate reporting processes and applicable metrics to monitor and assess outcomes.
• Proactively identify mechanisms to improve mission performance.
• Use appropriate quantitative and qualitative analytics techniques, including time series analysis, forecasting, multivariate regression, systems dynamics modeling, Bayesian inference, and others, to solve complex analytical challenges.
• Conduct business process analysis and optimization across the DOTMLPF-P spectrum and beyond.
• Interface and liaise with software program offices and contractors.
• Develop requirements for defense analytics software.
• Conduct stakeholder analysis and create products for stakeholder communications and messaging.

Requirements

• An active Secret Clearance or an interim Secret Clearance.
• A Master's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline.
• Minimum 4 years of experience working directly on a data science team.
• Superior communication skills, both oral and written.
• Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
• Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact.
• Working knowledge of databases and SQL.

Qualifications

• To be successful in this role, you must have an active Secret Clearance or an interim Secret Clearance.
• You must be a U.S. citizen.
• Preferred qualifications include linking analytic and data visualization products to database connections, familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics, familiarity with unstructured text and natural language processing, and familiarity with machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets.
• The ability to travel up to 10% is preferred.

Skills

• Advanced analytical and problem-solving skills.
• Strong communication skills, both oral and written.
• Proficiency in object-oriented programming languages (Python, Java).
• Experience with computational analysis tools (R, MATLAB).
• Experience with data visualization and dashboard creation tools (Tableau, Qlik, Power BI, RShiny, plotly, d3.js).
• Knowledge of databases and SQL.
• Familiarity with data science methods and techniques.
• Ability to work independently and collaboratively.

Benefits

• Comprehensive medical, dental, and vision insurance.
• Roadmap of vacation and sick leave benefits.
• Flexible work arrangements.
• 401(k) plan with employer matching funds.
• Tuition reimbursement program.
• Life insurance and disability coverage.
• Optional coverages such as pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection.
• Birth, adoption, parental leave benefits.
• Employee Assistance Plan.

Pay

The range for this position can be found at the top of this posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities.

Schedule

Full-time employment is offered.