questdefensesystemssolutionsinc

Data Scientist

Cincinnati, OH

Sponsorship not specified$65k-$72kDetected 2 days ago

PythonSQLPostgreSQLRedshiftAWSCloud PlatformsMachine LearningData AnalysisData EngineeringData ScienceNLPLLMsAgentic AIStatisticsForecastingSupply ChainProcess ImprovementRecruitingCadenceLeadershipCommunicationProblem Solving

About the role

They will provide accurate, timely, and useful information that helps the team understand performance, identify risks, and make better decisions.
They will help explain what the data means, where action may be needed, how the data can be trusted, and how reporting and analytics can become more automated, scalable, and valuable over time.
This is where problem-solvers, innovators, and visionary thinkers come together to shape the future.

Responsibilities

Build, maintain, and improve data pipelines that support repeatable reporting, analytics, dashboards, and decision-support products.
Work in Dataiku or similar data science / data engineering platforms to prepare datasets, develop workflows, automate analysis, and support scalable analytics.
Support data integration, data transformation, and data hygiene across structured, semi-structured, and manually maintained data sources.
Develop dashboards, trackers, reports, and visualizations that support program execution, customer reviews, operating reviews, and leadership visibility.
Partner with program managers, delivery leaders, engineers, supply chain, quality, and customer stakeholders to understand data needs and define useful reporting outputs.
Validate data accuracy, identify inconsistencies, and recommend improvements to source data, reporting logic, and business processes.
Support development of repeatable analytics processes, templates, standard work, data models, and documentation.
Experience building reports, dashboards, or visualizations using tools of any sort.
Ability to manage multiple priorities in a fast-paced program or engineering environment.

Requirements

Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Information Systems, Business Analytics, Data Analytics, or a related field
2+ years of hands-on experience in data science, data analytics, data engineering, business intelligence, program analytics, operations analytics, or a related role.
Strong Python skills, including experience with data manipulation, transformation, analysis, and automation.
Experience with SQL and working with relational or structured datasets.
Experience cleaning, joining, transforming, and validating data from multiple sources.
Ability to analyze data, identify trends, communicate findings, and translate business questions into analytical outputs.
Ability to work with cross-functional technical and non-technical teams.

Nice to have

Experience with Dataiku or similar data science, analytics, or workflow automation platforms.
Experience with AWS data services or cloud-based analytics environments.
Experience with PostgreSQL, Redshift, or similar data platforms.
Exposure to natural language processing, AI/LLM integration, or agentic AI workflows.
Experience supporting aerospace, defense, manufacturing, engineering, supply chain, quality, or program management environments.
Familiarity with program management metrics, schedule tracking, cost tracking, utilization, staffing, risk management, operational KPIs, or engineering workflow analytics.
Experience working with customer-facing teams or supporting executive-level reporting.
Experience with data storytelling, visual management, and executive-ready presentation of insights.

Compensation

Full compensation package is based on candidate experience and certifications

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