Data Scientist

Data Scientist By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones.

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.

Location:

Hybrid in

Woodlawn, MDSalary Range:

$150,000-160,000 annually. Factors influencing pay within this range include geography, market demand, skills, education, experience, and other qualifications of the successful candidate.#LI-SB1Responsibilities

Strategic Analytics & Modeling:

• Understand business needs and identify opportunities for process optimization across contact center and field office operations using cutting-edge data science.
• Create and implement descriptive, predictive, and prescriptive models to drive operational impact and optimize workforce management.
• Build models and simulations to describe data trends, predict events (such as contact volume or agent shrinkage), and prescribe actionable courses of action.
• 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. Qualifications

Education & Experience:

• 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: 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.

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