Journeyman Data Scientist (two positions)

Innovim; Northern (KY); Hybrid; USD 125,000 - 155,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

Life insurance

Matching 401k contribution

Educational/Training support

Job summary

Innovim is seeking a Journeyman Data Scientist to support a federal applied research program in acquisition cost analytics. You will build and maintain automated data pipelines, tune models, and craft visualizations that illuminate findings for decision-makers.

The role requires five+ years in data science, Python/R, Databricks, and a current Active Secret clearance. Remote or hybrid work in the United States with occasional travel to NCR may apply.

Qualifications

• Minimum five years of data science experience.
• Proficiency in Python and R for analysis and modeling.
• Experience building and maintaining data pipelines.
• Advanced knowledge of Databricks or equivalent platform.
• Ability to present findings with Tableau/Power BI.
• Experience working with diverse teams and translating insights.
• Active Secret clearance and U.S. citizenship.

Responsibilities

• Develop and maintain automated data pipelines, including ETL.
• Implement automated data quality checks, validation rules, and logging.
• Build metadata tagging and data lineage for traceability.
• Maintain pipeline code and docs in government version control.
• Improve models via hyperparameter tuning and feature engineering.
• Create dashboards and visualizations to communicate findings.
• Collaborate with cost analysts and engineers to translate results into recommendations.

Skills

Python

R

Data manipulation libraries

ML frameworks

Visualization: Tableau/Power BI

Team collaboration

Communication of results

Tools

Databricks

Apache Spark

Tableau

Power BI

Cloud data warehousing

Job description

Journeyman Data Scientist (two positions)

Job Category: MGMT

Requisition Number: CHIEF002794

• Posted : October 1, 2026


• Full-Time


• Remote

Locations

Showing 1 location

United States

Description

This position supports a potential Department of the Air Force opportunity and is contingent upon contract award, final Government requirements, and candidate qualification and clearance verification. This posting does not represent an offer of employment and does not imply that a contract has been awarded or that any offeror has been selected.

IDS is building a candidate pipeline for data scientists supporting a federal applied research program in acquisition cost analytics. The lead journeyman position builds and maintains the automated data pipelines, feature engineering, model tuning, and visualizations that the research depends on.

The customer designates this position as key personnel, so qualification thresholds and clearance status are verified before any candidate is proposed. More than one seat is expected.

Location: Remote or hybrid, United States. Occasional travel to the National Capital Region.
Clearance Type: Active Secret required at hire. Top Secret with SCI eligibility strongly preferred.

• Develop and maintain automated data pipelines, including extraction, transformation, and loading processes over large and heterogeneous source data.


• Implement automated data quality checks, validation rules, error handling, and logging.


• Build and maintain metadata tagging and data lineage so that any analytical result can be traced to the source record behind it.


• Maintain all pipeline code, configuration, and infrastructure-as-code in a government version control repository, with documentation sufficient for independent redeployment.


• Improve existing models through hyperparameter tuning, cross validation, and feature engineering.


• Build dashboards and visualizations that communicate analytical findings clearly.


• Work across a mixed team of cost analysts and engineers, translating analytical results into recommendations.

Required qualifications

• Minimum five years of data science experience.


• Proficiency in Python and R, including data manipulation libraries and machine learning frameworks, for exploratory analysis and model building.


• Competence developing and maintaining data pipelines, with knowledge of extraction, transformation, and loading processes and frameworks.


• Advanced knowledge of Databricks or an equivalent platform for efficient data collection, transformation, and loading.


• Skill presenting findings using visualization tools such as Tableau or Power BI.


• Experience working with diverse teams and translating data driven insight into actionable recommendations.


• Active Secret clearance. United States citizenship required.

Preferred qualifications

• Experience with Apache Spark and cloud based data warehousing.


• Exposure to federal acquisition, financial, or program management data.


• Experience working inside a government authorized cloud environment.

This position is expected to pay $125,000 to $155,000 annually; depending on experience, education, and any certifications that are directly related to the position

IDS is committed to providing superior work in the fields of science, engineering, data analytics and technology to government agencies. We offer competitive compensation packages, including

• comprehensive nationwide Medical/Dental/Vision insurance programs


• life insurance


• matching 401k contribution


• Educational/Training support

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.