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Junior Data Science Rotational Program Jobs in Milwaukee, WI

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or ...

Continuus Technologies LLC

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Mentor junior data engineers and review code * Contribute to data platform roadmap and continuous improvement Qualifications * Bachelor's degree in Computer Science, Engineering, or related field (or ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ... bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision ...

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All JobsData Science Rotational Program JobsJunior Data Science Rotational Program JobsJunior Data Science Rotational Program Jobs in Milwaukee, WI

Junior Data Science Rotational Program information

See Milwaukee, WI salary details

$34K

$78.2K

$125.6K

How much do junior data science rotational program jobs pay per year?

As of Jul 28, 2026, the average yearly pay for junior data science rotational program in Milwaukee, WI is $78,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $80,300.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Science Rotational Program vs Data Analyst?

AspectJunior Data Science Rotational ProgramData Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; some programs prefer internshipsBachelor's in Analytics, Business, or related field; certifications like Excel, SQL often preferred
Work EnvironmentRotational roles across teams, learning various data functions, often in tech or finance companiesFocused on analyzing data sets, creating reports, supporting decision-making in diverse industries
Employer & Industry UsageCommon in tech, finance, consulting firms offering structured training programsWidely used across industries for data-driven decision support

The Junior Data Science Rotational Program provides a structured, multi-team learning experience for aspiring data scientists, often including rotations across data functions. In contrast, Data Analysts focus on analyzing data, creating reports, and supporting business decisions. Both roles require strong analytical skills, but the rotational program emphasizes broad exposure and skill development, while Data Analysts typically specialize in data interpretation and reporting.

Junior Data Science Rotational Program jobs near you
Senior Data Scientist (Remote)

Senior Data Scientist (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 21 days ago

Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,458 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

  • Lead exploratory data analysis to cull actionable insights

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

  • Develop and implement statistical and machine learning models 

  • Fine-tune, optimize and ensure the scalability of models and algorithms

  • Aid in designing experiments to answer targeted questions

  • Identify and drive continuous improvement of key business metrics in an assigned business functional area

  • Drive adoption and usage of data science products and models

  • Translate data science outputs into business outcomes and value delivered

  • Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development

  • Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s

  • Additional tasks may be assigned

Addendum

PERSONALIZATION & RECOMMENDATION SYSTEMS

Accountabilities

  • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)

  • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)

  • Develop multi-stage ranking approaches, including candidate generation and re-ranking

  • Address cold-start and long-tail challenges in large product catalogs

  • Partner with engineering to support real-time personalization and scalable deployment

Skills & Experience

  • Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products

  • Experience in developing sequential, transformer models and utilizing LLM models in production

  • Understanding of collaborative filtering and learning-to-rank methods

  • Experience optimizing models for GPU / distributed training

  • Familiarity with large-scale datasets and production ML systems

  • Exposure to real-time or low-latency serving environments

  • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred

  • Experience with delivering end to end customized ML models in production environment

Required

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

  • 3+ years of progressively complex data science experience

  • Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods 

  • Expert in using modern analytics tools, programming languages, and cloud platforms (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 iterating quickly

  • Effective communication and collaboration skills at all levels 

Preferred

  • Master’s degree and/or Ph.D.

  • Retail and Logistics experience

  • Supply chain management

  • Marketing models

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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