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Manager Data Analyst Machine Learning Jobs in Wisconsin

... advanced analytics solutions to support key business decisions in one or more practices and/or ... Expert level knowledge of statistics, machine learning, their application, and their underlying ...

... machine learning modules through feature engineering. * Manage model lifecycle including ... data analytics, GIS, or related disciplines. Familiarity with or academic exposure to hydraulic ...

... managing demand across our product lines. Job Duties: * Diagnose problems in the production line ... Maximize productivity of machinery and workers * Lead Capacity studies for assigned processes

... managing demand across our product lines. Job Duties: * Diagnose problems in the production line ... Maximize productivity of machinery and workers * Lead Capacity studies for assigned processes

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

The Senior Analyst, Analytics and Platform is responsible for analyzing manufacturing data to ... processes, data management practices. * Experience with statistical modeling, machine learning ...

... time series analysis, high dimensional clustering, machine learning, data mining and Bayesian ... Play an active role in the product requirements process, giving feedback to product management when ...

... time series analysis, high dimensional clustering, machine learning, data mining and Bayesian ... Play an active role in the product requirements process, giving feedback to product management when ...

About MLG Capital MLG Capital is a private real estate investment manager focused on delivering ... This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics ...

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

We are seeking a Data Analyst to support the design, development, and implementation of new ... Ability to manage multiple initiatives and deliver high-quality work within established timelines.

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Manager Data Analyst Machine Learning information

What is the difference between Manager Data Analyst Machine Learning vs Data Scientist?

AspectManager Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related; experience in machine learningBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, model development, data exploration
Employer & Industry UsageBusiness analytics, tech companies, finance, healthcareTech firms, research institutions, consulting

While both roles involve data analysis and machine learning, the Manager Data Analyst Machine Learning focuses on leading teams and managing projects, whereas Data Scientists primarily develop models and perform in-depth data research.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Wisconsin? The most popular types of Data Analyst Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Manager Data Analyst Machine Learning jobs? Cities in Wisconsin with the most Manager Data Analyst Machine Learning job openings:
Data Scientist I (Remote)

Data Scientist I (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 16 days ago


Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,446 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.


 

What You’ll Do

  • Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations

  • Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

  • Develop and implement statistical and machine learning models to solve business problems within a cross-functional team

  • Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms

  • Document projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Identify and drive continuous improvement of key business metrics within the balanced team

  • Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities

  • Additional tasks may be assigned

Addendum

DECISION SCIENCE 

Accountabilities

  • Begin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates

  • Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management

  • Contribute to the tuning of models by adjusting objective functions, constraints, etc.

Skills & Experience

  • Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc

  • BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field


 

What Skills You Have

Required

  • Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results

  • Effective communication and collaboration skills

  • Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • 2+ years of progressively complex data science or analytics experience

Preferred

  • Master’s degree

  • Retail experience

  • Supply chain management

  • Marketing models

  • Logistics experience


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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