Principal Data Analytics Engineer

Direct Hire Location: Oshkosh, WI strongly preferred. New Hudson, MI site will also be considered. (3 days in office, up to 2 days remote).
Travel: minimum travel (1-2 times per year to other sites)]

Shift: Standard 1st shift working hours from Monday-Friday

**Must have on resume and be able to discuss during interview process**
Required technical skills (see below in JD)
Strong business experience working with business counterparts.
Effectively being able to gather business requirements, build a solution, communicate it to the client.
Exceptional communication skills.
Be able to tell a story with data.
Must be able to describe how their experience impacted the business, the solution they built.
An understanding that they are working in a bigger environment; must have a center of excellence outlook, be comfortable with mingling with counter business parts and have strong social skills. This is not a "put your head down and work" role.
Experience from manufacturing, automotive, industrial, or engineering industry is preferred, but is open to other industries like healthcare, retail, or biotech for example. Heavy financial industry experience should be avoided.
Supply chain functions experience is important
B.S. with 5 years of experience
M.S. with 3 years of experience The team is not looking for director level candidates or talent; only looking for management roles. This is an individual contributor role.
Job Description:
As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.
YOUR IMPACT:
Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.
Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to Client trends and patterns.
Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.
Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.
Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products.
Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
Coach and mentor other team members on new technologies and best practices across data science and business intelligence.
Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. Actively supports the advancement of the strategic roadmap for data science.
MINIMUM QUALIFICATIONS:
Bachelor's degree with five (5) or more years of experience in the field or in a related area.
STANDOUT QUALIFICATIONS:
Master's or doctorate degree
Expertise in Power Platforms
Familiarity with LLM (open source or closed)
Experience in Front end web app development (Flaskapp, Gradio etc)
Familiarity with RAG architecture

LanceSoft is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.