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Remote Computer Science Jobs in Milwaukee, WI (NOW HIRING)

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Bachelor's Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field * 3+ years of progressively complex data science experience * Extensive ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Bachelor's or master's degree in computer science or equivalent engineering experience * Minimum of 8 years of overall mixed IT experience * Minimum of 3 years of cloud experience (Azure, AWS, and/or ...

Imagine Learning

Virtual Teacher

Milwaukee, WI · On-site +1

$44.95K/yr

FL - Computer Science and Business * TN - CTE * TX - CTE and Healthcare/Health Sciences * MN ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Imagine Learning

Virtual Teacher

Milwaukee, WI · On-site +1

FL - Computer Science and Business * TN - CTE * TX - CTE and Healthcare/Health Sciences * MN ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Relativity

Principal Applied Scientist

Milwaukee, WI · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or ...

Deloitte

GCP Manager

Milwaukee, WI · On-site +1

Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Bachelor's Degree or equivalent in MIS, Computer Science or related field * Experience with large-scale application troubleshooting and performance tuning * Exposure working with major cloud ...

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How much do remote computer science jobs pay per year?

As of May 29, 2026, the average yearly pay for remote computer science in Milwaukee, WI is $83,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,466.00 and $120,008.00 per year, depending on experience, location, and employer.

What Are Remote Computer Science Jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

What are the key skills and qualifications needed to thrive as a Remote Computer Science professional, and why are they important?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.
More about Remote Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Milwaukee, WI? The most popular types of Computer Science jobs in Milwaukee, WI are:
What are popular job titles related to Remote Computer Science jobs in Milwaukee, WI? For Remote Computer Science jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science jobs in Milwaukee, WI look for? The top searched job categories for Remote Computer Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Computer Science jobs? Cities near Milwaukee, WI with the most Remote Computer Science job openings:
Remote Computer Science jobs near you
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

Other

Posted 21 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th 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

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