2033 Cleared SCRM Data Scientist/Data Engineer Supply Chain Ana

Job Requirements Huntsville, AL Secret Polygraph Unspecified Career Level not specified Salary not specified Join Premium to unlock estimated salaries Job Description •

US CITIZENSHIP REQUIRED

•ACTIVE DoD

SECRET CLEARANCE REQUIRED

•THIS

IS A 12 MONTH POSITION WITH POTENTIAL TO EXTEND

• This requisition supports two (2) full-time positions: one (1) position is 100% on-site at Redstone Arsenal in Huntsville, AL , and one (1) position is approved for remote work within the United States . All requirements apply equally to both positions. •This is a Federal Contract. U.S. Citizenship and an active DoD Secret Clearance (or higher) is required. Applicants who do not meet these requirements will not be considered.•

DESCRIPTION OF POSITION/DUTIES

All Points is seeking a Data Scientist / Data Engineer - Supply Chain Analytics to support the Army Materiel Command at Redstone Arsenal in Huntsville, AL . This is a 12-month, full-time position with potential to extend and requires either 100% on-site support (for the on-site position) or approved remote support (for the remote position).

THIS IS A 12 MONTH POSITION WITH POTENTIAL TO EXTEND.

The selected candidate will support Army Supply Chain Command Orchestration and Monitoring operations as a hybrid data scientist and data engineer. This role operates at the intersection of data engineering and applied machine learning, owning both the data pipelines that move supply chain data and the models and analytics that extract operational insight. Working under the technical direction of a Senior AI Solutions Engineer, the candidate will build, optimize, and maintain production-grade analytics that enable supply chain mapping, disruption detection, and risk visibility across priority weapons systems and materiel programs. This is a mission-driven, production-cadence role, not a research-only position. Duties may include but are not limited to: Build and maintain supply chain mapping constructs that trace multi-tier supplier relationships, component dependencies, foreign ownership indicators, and program linkages Design, optimize, and maintain data pipelines ingesting supply chain data from government and commercial sources into Snowflake and downstream analytics environments Develop and enhance disruption alerting models to detect supply chain stress signals, including single-source dependencies, supplier financial distress, geopolitical exposure, and lead time anomalies Apply machine learning and AI techniques to supply chain datasets, including entity resolution, anomaly detection, risk scoring, and predictive modeling Write, optimize, and maintain complex SQL queries and Python-based transformation logic against Snowflake data warehouses Produce analytic outputs that support Red Team vulnerability assessments, Blue Team mitigation planning, and executive decision-support dashboards Participate in data quality validation, confidence scoring, and model monitoring workflows Maintain pipeline documentation, data dictionaries, model artifacts, and data provenance per program governance standards Support government-directed onboarding of new data sources, including schema mapping and integration into existing pipelines

EDUCATION

Bachelor's degree from an accredited college in a related discipline

YEARS OF EXPERIENCE

Eight (8) to ten (10) years of relevant experience preferred Minimum of four (4) years of combined data science and data engineering experience required

SKILLS/CERTIFICATIONS

Hands-on Snowflake experience in a production analytics environment

REQUIRED

Demonstrated supply chain domain knowledge, including supplier networks, procurement data, logistics, or defense materiel programs

REQUIRED

Proficiency in Python for data engineering, analytics, and machine learning workflows Strong SQL skills, including complex queries, window functions, and performance optimization Experience building and maintaining ETL/ELT pipelines using orchestration frameworks (Airflow, dbt, Spark, or equivalent) Experience applying ML or AI techniques to real-world structured datasets in production or near-production environments Strong documentation practices supporting data lineage, auditability, and governance Experience with defense supply chain datasets (CAGE codes, NSNs, DLA/GIDEP) preferred Experience with entity resolution, graph-based supply chain mapping, or network analysis preferred Familiarity with AWS or other cloud data platforms in GovCloud or regulated environments preferred Familiarity with CUI handling and

NIST 800-171

data governance requirements preferred

SECURITY CLEARANCE

US Citizenship required Active, current, and fully adjudicated US DoD Secret security clearance required Positions with All Points are Full-Time, Direct, and include a comprehensive benefits package. For more information, please visit our

Career Portal:

https://www.allpointsllc.com/careers/ ALL

POINTS IS AN EQUAL OPPORTUNITY EMPLOYER

group id: 10501864 N Name Hidden Recruiter Apply now