Senior Data Scientist

U.S. Venture, Inc. • Appleton, WI

77d

About The Position

The Senior Data Scientist will play a crucial role in leading efforts to design, develop, and enhance analytical tools that address complex business challenges. This position will drive high-value modeling initiatives and experimentation, ensuring analytical rigor and innovation at every stage. A critical focus of this position is the ability to operationalize solutions, embedding advanced analytics into core processes and delivering scalable, production-ready capabilities that create measurable business impact. The individual in this role will: • Lead and influence technical direction within projects, shaping methodologies and best practices. • Mentor and develop junior team members, fostering growth while advancing your own expertise. • Innovate and expand our suite of analytical solutions to strengthen organizational capabilities. • Advance research in priority areas, ensuring robust analysis precedes modeling and experimentation. This position offers the opportunity to make a significant impact executing complex projects, elevating team performance, deliver actionable insights that influence business decisions, and embed advanced analytics into core processes. This position will be based on-site in Appleton, WI with in office expectations Monday - Thursday and remote work Fridays as business needs allow.

Requirements

• Bachelor’s or Master’s degree in Data Science, Data Analytics, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience.
• 5+ years working in data science-specific roles, with demonstrated experience working in roles that require proficiency with data modeling, statistical modeling, model deployment, data management with evidence of strategic impact.
• Proven project experience working in ML and experimentation; strong software design instincts and observability practices.
• Expertise in Python and SQL, with the ability to develop production-quality code using modern software engineering practices (e.g., object-oriented design, version control with Git, CI/CD pipelines).
• Proven ability to translate complex results into clear decisions and trade‑offs.
• Demonstrated high-level business acumen with a supply chain, transportation, and/or energy background being preferred.
• Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders, including executives.

Responsibilities

• Apply data science fundamentals: data collection, cleansing, modeling, and visualization.
• Develop solutions in Python and SQL to solve complex problems.
• Perform advanced data analysis and hypothesis testing to validate assumptions and guide modeling decisions.
• Apply modern software engineering principles for data science (CI/CD, Git, object-oriented programming, containerization).
• Perform advanced statistical modeling techniques, including classification and regression (ML/AI).
• Architect scalable, reliable model services with monitoring and retraining strategies.
• Establish robust evaluation frameworks (bias and robustness checks, ablations, model cards).
• Lead innovation and data research efforts for new concepts and technologies.
• Coordinate and facilitate technical brainstorming and ideation sessions.
• Build proof-of-concepts and prototypes to validate emerging approaches.
• Develop reusable accelerators and standards to shorten time-to-value for future projects.
• Lead problem framing and EDA to ensure the right method for the problem.
• Own full lifecycle: model → experiment → pilot → monitoring → decision/adoption.
• Deliver executive-ready decision briefs and technical documentation.
• Collaborate with platform and product teams to ensure seamless integration and operational reliability.
• Embrace mentorship of junior team members and code reviews; guide method selection and documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees