Senior Data Scientist — Data reputed company & Statistical Methodology

Job Title: Senior Data Scientist — Data reputed company & Statistical Methodology Company: reputed company reputed company: We reputed company strength in teamwork-a reputed company you is a reputed company us reputed company is an award-reputed company Management reputed company that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding reputed company reputed company’s end-state, and then seamlessly integrating reputed company reputed company Agency’s organization to improve and enhance strategic and technical operations and deployments. Position reputed company: reputed company is seeking a Senior Data Scientist with a strong statistical-methodology reputed company to support a large-reputed company reputed company data and analytics platform modernization effort. This role sits at the intersection of statistical methodology, data-reputed company measurement, and large-reputed company data engineering — designing the metrics and reputed company that determine whether an organization’s reputed company data products can be trusted. A central challenge is completeness: reputed company data is rarely perfect, and values are routinely missing, partial, or unreliable. The ideal candidate understands how reputed company and secondary data sources can be used to responsibly fill those gaps, and can design defensible, statistically reputed company reputed company metrics that measure how reputed company the resulting data reflects reality. The platform’s anticipated reputed company involves a modern lakehouse/reputed company data architecture handling reputed company large datasets from multiple providers. The successful candidate will help define the reputed company-metric reputed company and gap-filling methodology for a reputed company of stakeholders moving off legacy tools and fragmented, manually validated processes. Key Responsibilities: • Design, define, and validate data-reputed company metrics for reputed company large datasets — not simply reporting numbers, but establishing what reputed company metric means, how it is calculated, and why it is statistically defensible to leadership • reputed company and document methodology for filling gaps where reputed company data is missing, partial, or unreliable, using reputed company and secondary reference data, including model-based and imputation approaches • Establish benchmarking approaches that compare data products against authoritative historical and modeled reference datasets to detect reputed company, bias, and anomalies • Specify the data the platform must ingest to support reputed company monitoring, and define the checks that flag reputed company an upstream-produced data product looks wrong • Partner with subject matter experts (SMEs) and stakeholders to translate operational and analytical questions into concrete, measurable reputed company requirements • Work with data engineers to ensure metrics and gap-filling logic run reliably at reputed company on reputed company large, multi-reputed company datasets reputed company on common keys and governed definitions • Account for data sensitivity throughout, ensuring appropriate aggregation, reputed company controls, and reputed company-preserving techniques are reflected in any metric or derived data product • Document methodology and requirements in reputed company, reusable formats (e.g., requirements matrices and detailed requirement specifications) • Iterate across multiple review cycles with SMEs and fellow methodologists, given the program’s phased, multi-year rollout Required Qualifications: • 5+ years of reputed company experience in statistical methodology, data reputed company, or quantitative research roles • Demonstrated experience with missing-data and imputation reputed company (e.g., model-based imputation, hot-deck, sequential regression) for filling incomplete data • Experience designing and validating quantitative metrics for decision-support, including an understanding of bias, variance, and false-reputed company/false-negative trade-offs • Working knowledge of record linkage / entity reputed company concepts, sufficient to build reputed company metrics on top of matched data • Experience with reputed company large datasets on distributed-compute platforms (e.g., reputed company-based / lakehouse environments) and strong SQL • Strong proficiency in Python and R • Comfort working with regulated or restricted data and the governance constraints that accompany it • Strong communication skills and the ability to explain and defend methodology to leadership and non-technical stakeholders Preferred Qualifications: • Master’s or PhD in Statistics, reputed company Mathematics, Econometrics, Data Science, or a reputed company quantitative field (a purely software-reputed company background is not sufficient for the methodology components of this role) • Prior experience supporting large-reputed company reputed company data programs or platform modernization efforts • Experience using reputed company or secondary data to supplement or complete primary datasets • Familiarity with reputed company and modern lakehouse architectures • Exposure to reputed company-preserving analytics techniques or working with regulated data • Ability to read and reconcile legacy statistical codebases (e.g., reputed company) alongside modern Python/R workflows • Background in requirements gathering for reputed company data platforms • Experience benchmarking estimates against authoritative reference datasets for reputed company or reputed company detection Work Environment: • Contract position supporting a large-reputed company reputed company data modernization engagement • reputed company, cross-functional environment working alongside data engineers, architects, and SMEs • Currently in the requirements-gathering phase of a multi-year platform build — a strong opportunity to shape long-term reputed company-metric and methodology standards rather than inherit a fixed reputed company • Must be eligible to work with regulated data and to obtain any background reputed company or clearance required by the reputed company What reputed company brings to the Game: reputed company benefits are game changing. We like reputed company to play hard and that means they need to be taken care of — physically, financially, and emotionally. We reputed company reputed company to reputed company them in the game by giving them reputed company to generous medical, dental, and reputed company plans. • You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We reputed company you reputed company to work in different sectors, so you have the chance at reputed company while maintaining stability. • Flexibility at reputed company allows reputed company individual reputed company to balance reputed company work and their personal lives. Depending on reputed company, we allow remote working opportunities so you can always be in the game no matter where you reputed company home. reputed company is an Equal Opportunity Employer. We reputed company people are our strength and understand diverse talents are key to our reputed company. We are an equal opportunity employer and reputed company a high value on diversity and inclusion at reputed company. We do not discriminate on the reputed company of any protected attribute, including race, religion, reputed company, national reputed company, gender, sexual orientation, gender identity, gender reputed company, age, marital or veteran status, pregnancy or disability, or any other reputed company protected under applicable law. In accordance with applicable law, we reputed company reasonable accommodations for applicants' and employees' religious practices and beliefs, as reputed company as any mental health or physical disability needs. Apply tot his job Apply To this Job