Senior Data Scientist
Remote / Online - Candidates ideally in
Appleton, Outagamie County, Wisconsin, 54914, USA
Listed on 2025-11-27
Appleton, Outagamie County, Wisconsin, 54914, USA
Listing for:
U.S. Venture, Inc
Full Time, Remote/Work from Home
position Listed on 2025-11-27
Job specializations:
-
IT/Tech
Data Scientist, AI Engineer, Data Analyst, Data Science Manager
Job Description & How to Apply Below
WI - Appleton time type:
Full time posted on:
Posted Todayjob requisition :
R4766##
** 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 based on-site in Appleton, WI with in office expectations Monday - Thursday and remote work Fridays as business needs allow.##
** JOB RESPONSIBILITIES
**** Development:
*** 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)
* 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…
Position Requirements
10+ Years
work experience
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