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Overnight Data Science Mentor Jobs in Madison, WI

Paradigm

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

... mentorship to other engineers. What You Need to Succeed: · Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience. · 4+ years of ...

Sub-Zero, Inc.

Data Analyst II

Madison, WI · On-site

$70 - $90/hr

Train and mentor peers We value our employees by providing: * Competitive compensation based on ... Motivations : Education Required Bachelors or better in Computer Science or related field.

Manpower

Clinical Laboratory Scientist

Madison, WI

$29.30 - $31.30/hr

... hr (evening, overnight, and weekend shift) Schedule: Choose your schedule! Tuesday-Friday or ... Associate degree in laboratory science, medical laboratory technology, or equivalent coursework ...

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Overnight Data Science Mentor information

What does an overnight data science mentor do?

An Overnight Data Science Mentor provides guidance and support to students or professionals learning data science, typically during nighttime or off-peak hours. Their main responsibilities include answering questions, reviewing code and projects, offering feedback, and assisting with problem-solving in areas like statistics, machine learning, and programming. This role is especially important for learners in different time zones or those with non-traditional schedules, ensuring continuous support and engagement. Mentors often work remotely and may collaborate with educational platforms or bootcamps to help learners achieve their goals.

What are the typical responsibilities and challenges faced by an overnight data science mentor?

As an Overnight Data Science Mentor, you are primarily responsible for providing guidance, feedback, and support to data science students outside of regular business hours. This often involves answering technical questions, reviewing project work, and helping learners troubleshoot coding issues in real time. A common challenge in this role is balancing prompt, clear communication with students across different time zones while ensuring complex concepts are explained in an accessible manner. Additionally, working overnight hours requires strong time management and self-motivation. The role is highly collaborative, as you often coordinate with other mentors and instructional staff to ensure consistent support and learning outcomes.

What are the key skills and qualifications needed to thrive as an overnight data science mentor, and why are they important?

To thrive as an Overnight Data Science Mentor, you need a solid background in statistics, programming (such as Python or R), and practical experience applying data science methodologies, often supported by a relevant degree or certifications. Familiarity with tools like Jupyter Notebook, SQL, data visualization platforms, and cloud-based collaboration systems is essential. Strong communication, patience, and the ability to explain complex concepts clearly are vital soft skills for guiding learners remotely. These skills ensure effective mentorship, foster student growth, and help maintain a supportive learning environment during overnight hours.

What is the difference between Overnight Data Science Mentor vs Data Scientist?

AspectOvernight Data Science MentorData Scientist
CredentialsTypically requires a background in data science, mentoring experience, and relevant certificationsRequires a degree in data science, statistics, or related fields; certifications are common
Work EnvironmentOften remote, flexible hours, focused on mentoring and trainingUsually office-based or remote, involved in data analysis, modeling, and research
Employer & IndustryEducational platforms, online training companies, startupsTech companies, finance, healthcare, consulting firms
Search & Comparison IntentPeople looking for mentorship roles or part-time mentoring opportunitiesIndividuals seeking full-time data analysis or modeling roles

The main difference is that an Overnight Data Science Mentor focuses on guiding and training learners, often remotely and part-time, while a Data Scientist is involved in analyzing data, building models, and making data-driven decisions in a full-time professional setting.

What are the most commonly searched types of Data Science Mentor jobs in Madison, WI?

The most popular types of Data Science Mentor jobs in Madison, WI are:

Overnight Data Science Mentor jobs near you

FP&A Manager - Data Analytics

Duluth Trading Company

Mount Horeb, WI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Duluth Trading Company rating

6.4

Company rating: 6.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Position Overview
The Financial Planning & Analysis Manager - Data Analytics is a high-impact leadership role designed to modernize the finance function through advanced data architecture and analytical rigor. This position will report to the Sr. Director of FP&A and serves as the primary liaison between finance, the business teams, and IT. You will help oversee the evolution of budgeting and forecasting leveraging data, automation, and predictive modeling to provide leadership with deep, actional insights to support the organization's growth and profitability.
Position Details
Work Environment:
At Duluth Trading Company, we value face-to-face interactions that foster our culture of learning, creativity, and teamwork. The role is based at our headquarters near Madison, WI. You will work in the office Monday through Thursday, with the option to work from home on Fridays if you prefer.
What You'll Do:
  • Data-Driven Forecasting: Lead the integration of large datasets into the annual budgeting and monthly forecasting processes, transitioning from manual inputs to automated, data-driven financial models.
  • Advanced Modeling & Architecture: Develop and maintain sophisticated financial models using SQL, Python, or advanced Excel to simulate various business scenarios and support strategic decision-making.
  • BI Strategy & Visualization: Design, implement, and manage executive-level dashboards (e.g., Power BI) that track Key Performance Indicators (KPIs) and provide real-time visibility into financial performance.
  • Predictive Analytics: Utilize statistical methods to identify trends, risks, and opportunities; move beyond "what happened" to "what will happen" by analyzing customer behavior, price elasticity, and operational data.
  • Process Automation: Champion the "Finance of the Future" by identifying opportunities to automate repetitive reporting tasks and streamline data flows between ERP and planning systems.
  • Master Data Management & Governance: Establish and enforce standards for financial data integrity across the organization, defining data owners, maintaining the "Single Source of Truth" for financial hierarchies, and ensuring that data definitions remain consistent across systems to provide reliable reporting.
  • ERP Transition: Serve as one of the Finance leads for the migration to a new ERP system, including overseeing data mapping and cleansing, validating historical data migration, and designing new reporting workstreams to ensure a seamless transition with loss of analytical visibility.
  • Stakeholder Communication: Execute high-priority ad hoc analyses and translate complex data sets into the "story behind the numbers" for senior leadership, providing clear variance analysis and strategic recommendations.
  • Cross-Functional Leadership: Mentor an analyst(s) in technical skills (data hygiene, query writing) and soft skills (business partnership) to ensure the finance team remains a center of analytical excellence.

What We're Looking For:
  • Bachelor's Degree in Finance, Accounting, Data Science, Business Analytics, or Statistics
    • Equivalent work experience will be considered.
  • Ability to interact with a team in a fast-paced environment, sometimes under pressure, remaining flexible, proactive, resourceful and efficient, with a high level of professionalism and confidentiality.
  • 7+ years of progressive experience in FP&A, Corporate Finance, or Business Intelligence.
  • 1+ years of management experience managing a team and developing talent.
  • Advanced Analytics: Proficiency in SQL and business intelligence tools (e.g., Power BI) is highly preferred
  • Systems Knowledge: Experience with Enterprise Resource Planning (ERP) systems and Planning Software (e.g., Adaptive Insights, Anaplan, Oracle)
  • Financial Expertise: Understanding of financial statements and valuation methodologies (ROI, NPV)
  • Authorization to work in the United States without sponsorship.

Physical Environment & Travel Expectations:
  • Travel is required for less than 10% of company-related meetings, programs, and/or events.
  • Sitting is required for 90% of working hours.
  • Standing is required for 10% of working hours.
  • Continuous arm, hand, and wrist movement (ie: typing)
  • Occasional reaching, twisting, and bending.
  • Noise level no greater than casual conversation.
  • Ability to perform work in cubicle workstations or an office setting.
  • Work in temperatures ranging from 65 - 75 degrees.

Duluth Headquarters Benefits and Perks
Our pursuit of a better way isn't just about our products-it's about our people too. That's why our Dam Good Crew enjoys a comprehensive benefits package, designed to support their well-being and success.
  • Multiple Medical plan options
  • Dental & Vision plans
  • Medical and Dependent Care Flexible Spending Accounts
  • Health Savings Account including company contributions
  • Company paid Life Insurance and AD&D
  • Company paid Short-Term Disability
  • Other various voluntary benefits including: Accident, Critical Illness, Hospital Indemnity, Long-Term Disability and Supplemental Life Insurance
  • 401(k) Employer Match
  • Parental Leave
  • Paid holidays: New Year's Day, Martin Luther King Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving Day, Christmas Eve, Christmas Day
  • Paid Time Off: take it as you need it policy for exempt employees
  • Daily pay available
  • 40% Employee Discount
  • Flexible Fridays
  • Onsite fitness center

Position Compensation Outline
Compensation Range: $113,000 to $145,000/year
This position is eligible to participate in the company bonus program.
Compensation listed is for the full-time position at this specific location and is based on several factors, including experience, and qualifications. Benefits and perks may have eligibility requirements and are subject to change.
#LIONSITE
The responsibilities outlined in this position description are a guideline for the general duties of the position and are not exhaustive of all duties inherent in the job. Duluth Trading Company is an Equal Opportunity Employer. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions.
About Duluth Trading Company
Started in 1989, Duluth Trading Company exists to enable hard-working individuals to take on life with their own two hands. Folks that revel in doing it the hard way and celebrate finding a better way. We seek talented individuals who share these beliefs and are excited to further the Duluth Trading legacy with a digital-first mindset, always moving forward and always innovating.
From ingenious Duluth workwear, to comfortably capable Buck Naked Underwear, to outside-embracing AKHG, it's all about the innovative gear and gadgets that equip customers for a more hands-on way of life.
Top-notch quality, immersive storytelling, outstanding customer service, and the shared belief that the go-all-in-and-dig-deep spirit exists with everyone are what sets Duluth Trading Co. apart. We seek talented folks looking to be part of a can-do team that's hellbent on helping the world to gear up, get its hands dirty, and do.

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