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Senior Data Science Startup Jobs in Ohio (NOW HIRING)

TQL

Senior Data Scientist

Cincinnati, OH · On-site

Opportunity to shape data science strategy and standards* Direct collaboration with senior stakeholders* Leadership and mentorship opportunities* Comprehensive benefits package with health, dental ...

Qnity

Senior Data Scientist

Delaware, OH · On-site

Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist ... For experienced data science candidates, this is an exciting opportunity to join a growing team ...

REWE Markt GmbH

$98 - $150/hr

Denn als (Senior) Data Scientist bei der REWE Group prägst du entscheidend das Einkaufserlebnis ... Ein abgeschlossenes Masterstudium mit Data Science/Analytics-Bezug (z. B. Wirtschaftsinformatik ...

PENNY-Markt Gesellschaft mit beschränkter Haftung

$104 - $150/hr

Denn als (Senior) Data Scientist bei der REWE Group prägst du entscheidend das Einkaufserlebnis ... Ein abgeschlossenes Masterstudium mit Data Science/Analytics-Bezug (z. B. Wirtschaftsinformatik ...

REWE Gruppe

$81 - $116/hr

Denn als (Senior) Data Scientist bei der REWE Group prägst du entscheidend das Einkaufserlebnis ... Ein abgeschlossenes Masterstudium mit Data Science/Analytics-Bezug (z. B. Wirtschaftsinformatik ...

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Senior Data Science Startup jobs near you

Data Scientist - Senior - #917

Allen Integrated Solutions

Dayton, OH • On-site

Full-time

Posted 4 days ago

Job description

Data Scientist - Senior - #917

Clearance Required:  TS/SCI 

Dayton, Ohio - 100% onsite

Position Overview 

The Senior Data Scientist applies advanced data engineering, computational programming, and statistical modeling capabilities to develop and deploy data-driven intelligence solutions. Operating on-site under minimal oversight within the National Air and Space Intelligence Center (NASIC), this role supports the Technology, Data, and Assessment Division (A9A) of the Future Capabilities & Assessment Directorate (NASIC/A9). 

The Senior Data Scientist focuses on the hands-on engineering of Intelligent Automation, Artificial Intelligence, and Machine Learning (IA/AI/ML) workflows against complex intelligence datasets. This role is responsible for converting advanced algorithmic models into scalable software factory outputs, creating intuitive analytical dashboards, and ensuring all mathematical solutions securely integrate within the NASIC Unified Cloud (NUC) infrastructure. 

Core Responsibilities 

  • Advanced AI/ML Coding & Modeling: Performs hands-on software script writing, data modeling, and code modifications to deploy specialized IA/AI/ML techniques, predictive algorithms, and statistical models. 
  • Analytical Transformation & Dashboarding: Translates intricate data structures and statistical outputs into actionable insights and dashboards, allowing non-technical mission partners and analysts to easily interpret mission-critical trends. 
  • Data Strategy & Infrastructure Integration: Implements data strategies, data flow structures, and cloud architecture requirements to integrate data processing pipelines into modern Zero Trust Architecture (ZTA) frameworks. 
  • Reporting & Documentation Support: Actively drafts technical content for the monthly Data Science & Analytics Progress Report, accurately measuring algorithm velocity, documentation compliance, and ingestion metrics. 
  • Technology Scouting & Prototyping: Assists senior technical leads in technology scouting and evaluations of emerging commercial cloud analytics capabilities. Runs pilot software scripts within non-production environments to determine technical viability. 
  • Cross-Functional Collaboration: Partners closely with software engineers, database administrators, and Group product owners to trace requirements and maintain standardized data governance rules across sprint cycles. 

Qualifications & Experience 

Required: 

  • Education & Experience: Bachelor's degree and 10 years of experience OR a Master's degree and 8 years of experience in Data Science, Computer Science, Statistics, Mathematics, or a related computational field. 
  • Technical Expertise: Extensive experience processing large-scale datasets, modifying algorithmic software code from technical specifications, and applying advanced analytical strategies with minimal oversight. Strong background using Python, R, and automated pipeline tools inside secure cloud infrastructure (such as DAF Cloudworks). 
  • Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Demonstrated capability ensuring all code developments comply with strict DoD and Air Force IT standards. 

Desired: 

  • NASIC Experience: NASIC experience highly desired, not mandatory. 

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