Job Description

Job Description:

Produces innovative solutions through the use of advanced data analytics from complex and high-dimensional datasets. Works with business partners to understand what the business needs and issues are to address.  Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries to meet a variety of business challenges. Develops and evaluates predictive models and advanced algorithms that lead to business solutions. Conducts the complex and vital analytics work critical to the organization. Assists with complex projects that yield actionable insights used by senior management to make strategic, data-driven business decisions.  Communicates findings and recommendations to leadership and business partners. Participates in implementation efforts.

Primary Accountabilities

Creates business application and modeling framework, for new datasets, and discovers insights and relationships from large/complex datasets through investigative research using advanced mathematical and/or statistical techniques.
Explores data using a variety of advanced statistical techniques to proactively identify relationships, create insights and answer business questions or guide future model development.
Build the hypothesis, identify research data attributes and determine best approach to address business issues.
Combines business acumen with mathematical capabilities to build complex predictive models to support business objectives.
Builds complex programs for running mathematical or statistical tests on data and for understanding complex relationships across attributes.
Incorporates findings and provides industry and competitor insights as part of model development and enhancement.
Researches and maintains awareness of industry best practices and business strategies.
Brings new and innovative ideas and approaches to develop business solutions.
Monitors industry and competitor trends to determine potential impact to predictive models.
Incorporates findings and provides industry and competitor insights as part of model development and enhancement.
Identifies, leverages and develops expertise in emerging technologies, open source tools, and harnesses new techniques (e.g., machine learning).
Networks with and contributes thought leadership to the broader external analytics community. Builds awareness of leading techniques, tools, and data resources.
Assists with complex research or analytics projects related to large, complex business initiatives.
Interacts with company senior leadership to inform on industry trends and emerging research topics. Serves as internal expert for new areas of analytics exploration.

Education/Licenses/Designations

Preferred: Master's Degree in Mathematics, Statistics, Physics, Computer Sciences or Engineering, or related field; PhD strongly preferred

Specialized Knowledge and Skills Requirements

Demonstrated experience providing customer-driven solutions, support or service.
Ability to work as part of a team and to communicate effectively.
Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.  Understanding of software development best practices including source control, coding standards and testing frameworks.
Demonstrated experience communicating complex findings in a clear and concise manor to divisional management.
Demonstrated experience developing and managing complex projects.
Experience shaping the strategy for projects to deliver maximum business value
Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach.
Demonstrated experience working with large, complex datasets using big data technologies and script.
Demonstrated knowledge and understanding of managing data to scale using data summarization, query, and analysis software and tools.

Travel Requirements

This position requires travel up to 10% of the time

Additional Job Information:

Top candidates will have 5+ years of NLP (including familiarity with large language models), CV (including familiarity with modern CNN architectures), or related ML experience.
Depending on qualifications, candidates may be considered at the Scientist I, II or III level.
There are multiple positions available.
This position requires working in our Madison, WI location. Relocation assistance is available.
Offer to selected candidate will be made contingent on the results of applicable background checks.
Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.