Senior Data Scientist — Data Quality & Methodology

BLN24; McLean (VA); Hybrid; USD 130,000 - 190,000; Part time

Benefits offered by this job

Remote work opportunities

Medical, dental, vision plans

Job summary

BLN24 is seeking a Senior Data Scientist focused on data quality and statistical methodology to advance a large-scale data platform modernization. You will define metrics, gaps, and governance controls across lakehouse architectures, ensuring defensible, auditable quality for enterprise data products.

You will collaborate with data engineers and SMEs to translate complex analytical questions into measurable quality requirements, design imputation strategies, and help scale validation processes

Qualifications

• 5+ years of applied experience in statistical methodology, data quality, or quantitative research roles.
• Demonstrated experience with missing-data and imputation methods (e.g., model-based imputation, hot-deck, sequential regression).
• Experience designing and validating quantitative metrics for decision-support, including bias, variance, and false-positive/false-negative trade-offs.
• Working knowledge of record linkage / entity resolution concepts to build sound metrics on top of matched data.
• Experience with very large datasets on distributed-compute platforms (e.g., Spark-based / lakehouse environments) and strong SQL.
• Strong proficiency in Python and R.
• Comfort working with regulated data and governance constraints.
• Strong communication skills and the ability to explain methodology to leadership and non-technical stakeholders.

Responsibilities

• Design, define, and validate data-quality metrics for very large datasets.
• Develop and document methodology for filling gaps where data is missing using external data and imputation approaches.
• Establish benchmarking approaches that detect drift, bias, and anomalies against reference datasets.
• Specify the data the platform must ingest to support quality monitoring and define checks for anomalies in upstream data products.
• Partner with SMEs to translate questions into measurable quality requirements.
• Work with data engineers to ensure metrics and gap-filling run reliably at scale on multi-source datasets.
• Account for data sensitivity and implement privacy-preserving techniques in metrics and derived data products.
• Document methodology and requirements in structured formats (e.g., matrices, specifications).
• Iterate across review cycles with SMEs and methodologists in a multi-year rollout.

Skills

5+ years experience in statistical

Missing-data imputation

Quantitative metrics design

Entity resolution

Spark / lakehouse on large data

SQL

Python

R

Governance for regulated data

Leadership communication

Education

Master's or PhD in Statistics or Data Science

Tools

SAS

Databricks

Job description

BLN24 is seeking a Senior Data Scientist focused on data quality and statistical methodology to advance a large-scale data platform modernization. You will define metrics, gaps, and governance controls across lakehouse architectures, ensuring defensible, auditable quality for enterprise data products.

You will collaborate with data engineers and SMEs to translate complex analytical questions into measurable quality requirements, design imputation strategies, and help scale validation processes