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Remote Data Optimization Jobs in Milwaukee, WI (NOW HIRING)

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Lead exploratory data analysis to cull actionable insights * Collaborate with stakeholders to ... Experience optimizing models for GPU / distributed training * Familiarity with large-scale datasets ...

Milliman

Data Engineer (MedInsight)

Brookfield, WI · On-site +1

$93K - $177K/yr

Experience troubleshooting and optimizing data workflows for performance and reliability. * Strong ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Knowledge of SEO best practices and how they are evolving. Responsibilities: This is an individual ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Knowledge of SEO best practices and how they are evolving. Responsibilities: This is an individual ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Knowledge of SEO best practices and how they are evolving. Responsibilities: This is an individual ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

EnthuZiastic

Growth Hacker - Remote

Kenosha, WI · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Milwaukee, WI · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Racine, WI · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162K/yr

Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms. * Apply modern Test-Driven Development (TDD) methodologies ...

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Remote Data Optimization information

See Milwaukee, WI salary details

$16

$55

$80

How much do remote data optimization jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote data optimization in Milwaukee, WI is $55.97, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $66.30 per hour, depending on experience, location, and employer.

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps ensure faster data retrieval and better decision-making.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is remote optimization?

Remote optimization in a data optimization role involves analyzing and improving data processes, storage, and workflows from a remote location. It often requires skills in data analysis tools, programming, and cloud-based platforms to enhance efficiency and accuracy without being on-site.

How can I make 2000 a week working from home?

A remote data optimization professional can earn $2,000 or more weekly by working on high-demand projects, optimizing large datasets, and utilizing skills in data analysis, SQL, and automation tools. Achieving this income level often requires experience, a strong portfolio, and the ability to handle multiple clients or projects simultaneously.

Is remote data entry a real job?

Remote data entry is a legitimate job that involves inputting, updating, and managing data from a remote location using computers and data management software. It often requires attention to detail, basic computer skills, and familiarity with tools like spreadsheets or database systems.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Milwaukee, WI? The most popular types of Data Optimization jobs in Milwaukee, WI are:
What are popular job titles related to Remote Data Optimization jobs in Milwaukee, WI? For Remote Data Optimization jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Milwaukee, WI look for? The top searched job categories for Remote Data Optimization jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Data Optimization jobs? Cities near Milwaukee, WI with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Milwaukee, WI as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,427 per year, or $56 per hour.
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

Other

Posted 8 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,436 frontline employees who took The Breakroom Quiz

12th 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

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