Digital Technology Data Scientist Lead
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Job Location:
Frederick, MD - USA
Yearly Salary:
$ 130000 - 140000
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Digital Technology Data Scientist Lead (2 Openings)
Location: Oshkosh WI (Preferred) Frederick MD (Considered)
Work Arrangement: Hybrid
Compensation: $139800 base up to 10% bonus
Relocation: Offered
Travel: Minimal (12 times per year)
Eligibility: U.S. Citizen or Green Card Holder
Role Summary
We are seeking a Digital Technology Data Scientist Lead to drive advanced analytics and machine learning initiatives that directly impact business performance. This is a hands-on individual contributor role for a senior data scientist who excels at translating business problems into data-driven solutions and communicating insights in a compelling actionable way.
This position operates within a Data Science Center of Excellence requiring strong collaboration across business functions and the ability to influence stakeholders through data storytelling and technical expertise.
Work Location Expectations
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Oshkosh WI (Strongly Preferred): 3 days onsite / 2 days remote
Remote Consideration: For highly qualified candidates within driving distance of Oshkosh 25% onsite / 75% remote
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Frederick MD: Hybrid (3 days onsite / 2 days remote)
Key Responsibilities
Analyze and interpret structured and unstructured data using statistical methods machine learning and advanced programming
Partner with business stakeholders to gather requirements design solutions and deliver measurable business impact
Build and deploy complex predictive models and ML algorithms into operational systems
Translate technical findings into clear compelling stories for both technical and non-technical audiences
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Lead data science workstreams including:
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Model development and validation
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Data quality improvements
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Incident troubleshooting and root cause resolution
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Collaborate cross-functionally with data engineers architects analysts and business leaders
Mentor team members and promote data science best practices
Contribute to the enterprise data science strategy and roadmap
Support supply chainrelated analytics initiatives
Required Technical Skills
Candidates must clearly demonstrate hands-on experience with:
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Azure Databricks
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Python
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Spark
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Power BI
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Microsoft Office (advanced Excel pivot tables)
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Statistical modeling and machine learning
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Data processing across large complex datasets
Professional Experience Requirements
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Strong track record of:
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Working directly with business stakeholders
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Translating business needs into analytical solutions
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Communicating impact in business terms
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Exceptional communication and presentation skills
Ability to tell a story with data
Comfortable operating in a highly collaborative cross-functional environment
Experience in supply chain analytics is important
Industry Background Preferred
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Manufacturing
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Automotive
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Industrial
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Engineering
Other industries such as healthcare retail or biotech may be considered.
Heavy financial services backgrounds are not preferred.
Minimum Qualifications
Bachelors degree 5 years of relevant experience
OR
Masters degree 3 years of relevant experience
Standout / Nice-to-Have Qualifications
Masters or PhD in Data Science Statistics Computer Science or related field
Experience with Microsoft Power Platform
Familiarity with Large Language Models (LLMs)
Knowledge of Retrieval-Augmented Generation (RAG) architectures
Experience developing front-end data apps (Flask Gradio etc.)
What This Role Is NOT
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Not a people-management or director-track role
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Not a heads-down isolated technical position
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This is a business-facing high-impact individual contributor role
Direct Hire role
Compensation Range: $139800.00/year up to 10% bonus
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
