PTF Consulting, LLC. · 1 day ago
Mid-Level Data Scientist
PTF Consulting, LLC. is seeking a Mid-Level Data Scientist to support applied analytics and machine learning efforts across large, complex data environments. This role involves developing models and insights, collaborating with various teams, and ensuring data quality in production systems.
Staffing & Recruiting
Responsibilities
Develop, test, and evaluate statistical and machine learning models using structured and unstructured data
Perform exploratory data analysis on high-volume, complex datasets to identify trends and predictive signals
Support feature engineering, data preprocessing, and model validation efforts
Apply statistical methods to evaluate model performance, reliability, and accuracy
Partner with Data Engineering teams to integrate models into enterprise data pipelines and data lake architectures
Analyze data from databases, object storage, APIs, and other heterogeneous sources
Ensure data quality, consistency, and traceability across ingestion and transformation workflows
Support analytics and machine learning workflows operating at scale
Collaborate with ML Engineers, MLOps, and DevOps teams to support production ML workflows
Communicate analytical findings through documentation, visualizations, and briefings
Contribute to model documentation, validation artifacts, and continuous improvement initiatives
Qualification
Required
U.S. Citizen with an active DoD, Intelligence Community, or DHS clearance, or eligibility to obtain and maintain one
Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent professional experience
5 to 7 years of professional experience in data science, applied analytics, or machine learning roles
Proficiency in Python and common data science libraries
Experience working with large, complex datasets in enterprise or data lake environments
Strong understanding of statistical methods and core machine learning techniques
Preferred
Experience supporting analytics or ML solutions in medical, biotech, bioscience, or healthcare environments
Familiarity with HIPAA-regulated data, including PHI handling and de-identification practices
Experience operating in regulated or security-conscious environments
Familiarity with cloud-based data platforms, Azure preferred
Exposure to distributed data processing frameworks such as Spark
Experience collaborating with MLOps or production ML teams
Benefits
Competitive salary and comprehensive health benefits
401(k) with company matching
Clearance sponsorship for eligible candidates
Training and certification support
Opportunity for growth into Senior Data Scientist roles