Senior Data Scientist

POSITION SUMMARY

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 located in Appleton, WI.

JOB RESPONSIBILITIES

Development:

* Apply data science fundamentals: data collection, cleansing, modeling, and visualization.influence business decisions, and embed advanced analytics into core processes.

* 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)

* Optimization model methodologies

* Forecasting model development and management

* Architect scalable, reliable model services with monitoring and retraining strategies.

* Establish robust evaluation frameworks (bias and robustness checks, ablations, model cards).

Innovation

* 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.

* Advance research initiatives in areas such as LLM/RAG evaluation & safety, AI agent frameworks, generative AI applications (text, vision, multimodal), advanced optimization, and causal ML.

* Develop reusable accelerators and standards to shorten time-to-value for future projects.

* Mentor junior team members in innovative solution development.

* Stay ahead of industry trends and proactively identify opportunities to integrate cutting-edge techniques into business processes.

* Champion responsible AI practices in all innovation efforts.

Execution

* Lead problem framing and EDA to ensure the right method for the problem.

* Own full lifecycle: model → experiment → pilot → monitoring → decision/adoption.

* Drive prioritization and trade-off decisions to balance accuracy, scalability, and time-to-value.

* Deliver executive‑ready decision briefs and technical documentation.

* Collaborate with platform and product teams to ensure seamless integration and operational reliability.

Collaboration:

* Embrace mentorship of junior team members and code reviews; guide method selection and documentation.

* Coordinate with Platform for business‑critical productionization and SLO alignment.

* Build strong relationships and establish credibility with stakeholders at all levels, including senior leadership, through effective interpersonal and communication skills.

QUALIFICATIONS

* 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…