Position Description & Qualifications

If you love high profile and challenging projects supporting the US Army, then Serco has a great opportunity for you! As a SeniorData Scientist, you will be part of the Global Logistics and Support Services (GLASS) team supporting Army Sustainment Command (ASC) and the Lead Material Integrator (LMI) at Rock Island, IL. Bring your expertise and collaborative skills to make an difference on high-visibility, influential projects.

In this role, you will:

• 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, changes, and interventions.
• 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, the criteria for recommended algorithms and processes shall include preference for efficient methods that use as simple of a process as possible given the current state-of-the-art practices. The analytics and process solution sets shall provide appropriate, economic savings-driven answers.
• Regularly identify and communicate courses of actions 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 analytics techniques to include time series analysis and forecasting, advanced multivariate regression (including Probit and Logit Models), systems dynamics modelling, Bayesian inference procedures, minimax procedures (statistical), subjective probability utilization, expected utility analysis, operational risk analysis, and uncertainty evaluation.
• Use appropriate qualitative analytics techniques to include multi-criteria decision analysis, qualitative comparative analysis, causal mapping, formal game theory, minimax procedures (game theory), decision architecture, systems architecture analysis, organizational analysis and structural reform, supply chain analysis,and multinational best practices (military and industry) evaluation.
• Use logistics and agent-based modeling and simulation.
• Conduct business process analysis and optimization across the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, Facilities, Policy (DOTMLPF-P) spectrum and beyond.
• Produce formal use cases, software program change requests, and other required documentation for technology insertion into related defense logistics support software.
• 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.

To be successful in this role, you will have:

• An Active Secret Clearance or an interim Secret Clearance.
  • U.S. Citizenship
• 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 objectoriented 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.
• 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, R, Python, SAS, MATLAB, Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics.
• Familiarity with machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets.
• Familiarity with supervising algorithm implementation in on premise and cloud-based computing environments.
• Familiarity with developing software to generate reports and visualizations that summarize data sets and provide data-driven insights.
• Familiarity with developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
• The ability to travel up to 10%.

Pay Transparency

Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements.

Salary range: 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.Benefits - Comprehensible benefits for full-time employees (part-time employees receive a limited package tailored to their role):

• Medical, dental, and vision insurance
• Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract
• 401(k) plan that includes employer matching funds
• Tuition reimbursement program
• Life insurance and disability coverage
• Optional coverages that can be purchased, including 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

To review all Serco benefits please visit: https://careers.serco-na.com/us/en/about-us.

Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. If an applicant has any concerns with job posting compliance, please send an email to: [email protected].