Data Scientist
Role details
Job location
Tech stack
Job description
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Strategic Analytics & Modeling:
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Understand business needs and identify opportunities for process optimization across contact center and field office operations using cutting-edge data science.
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Create and implement descriptive, predictive, and prescriptive models to drive operational impact and optimize workforce management.
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Build models and simulations to describe data trends, predict events (such as contact volume or agent shrinkage), and prescribe actionable courses of action.
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Utilize statistical analysis, unsupervised/supervised machine learning, and deep learning to solve complex challenges.
Data Engineering & Pipeline Development:
- Design creative AI and ML algorithms and develop robust analytic pipelines for analyzing large-scale, disparate, and complex datasets.
- Analyze algorithms, write scripts, automate processes, and apply the right combination of tools to turn raw data into objective answers for agency leadership.
- Design and implement data architectures and standards to govern how business information is collected, stored, integrated, and utilized.
Customer & Stakeholder Collaboration:
- Work closely with the customer to understand their unique problems and constraints, digging into their data-rich environment to piece together information puzzles.
- Collaborate with multi-disciplinary teams across the organization to design and execute technical studies across a variety of domains.
- Effectively communicate principled conclusions from data using mathematics, statistics, and application-specific knowledge.
- Clearly present findings, novel insights, and strategic recommendations to executive leadership.
Requirements
We are seeking a highly skilled and motivated Data Scientist to support a large Federal agency by delivering advanced analytics and business intelligence. In this role, you will play a critical part in optimizing contact center and field office operations. The ideal candidate will have a strong foundation in machine learning and data architecture, paired with extensive experience extracting actionable insights from complex workforce management and customer interaction data., + Bachelor's degree and 4+ years of relevant professional experience; OR a Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Operations Research, or a related technical discipline.
- At least 3 years of experience in the construction, testing, and application of regression, decision tree, and machine learning models.
- Technical Proficiency
- Programming & Big Data: Excellent skill in modern programming languages (Python, R, Scala) and big data processing tools (Apache Spark, Snowflake, or equivalent). Experience with C#, Java, or .NET is a plus.
- Cloud Platforms: Experience with common cloud computing environments such as AWS, Azure, or GCP.
- Data Science Libraries: Familiarity with data manipulation, ML, and visualization libraries (e.g., HuggingFace, Plotly, Pandas).
- AI/ML Expertise: Experience with deep learning, reinforcement learning, and natural language processing (NLP).
- Visualization Tools: Familiarity with business intelligence and visualization platforms such as Tableau.
- Methodology & Practices:
- Experience working in an Agile/Scrum environment, utilizing project management tools such as Jira.
- Strong knowledge of Data Mining, Information Capture, Prototyping, and Query/Database Access tools.
- Certifications: One (1) or more active certifications related to data science, cloud architecture, and/or security.
- Soft Skills: Confident communicator, creative thinker, motivated problem solver, standout colleague, and life-long learner with an enthusiasm for quantitative problem-solving.
Preferred Qualifications:
- Domain Expertise: Extensive background in contact center operations, including familiarity with CCaaS platforms (e.g., Amazon Connect), Workforce Optimization (WFO) suites (e.g., Verint), and analyzing omnichannel routing data.
Clearance Requirement:
- US Citizen or Green card holder
- Active Public Trust Clearance
- Must meet updated ID requirements: https://www.gsa.gov/technology/it-contract-vehicles-and-purchasing-programs/federal-credentialing-services/get-appointment-help/bring-required-documents
- If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully.
Benefits & conditions
We offer competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. We invest in our employees - Every employee is eligible for education reimbursement for certifications, degrees, or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course, complete a certification, or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development.