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Remote Meta Data Science Jobs in Wisconsin (NOW HIRING)

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

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 ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

Qualysoft

... von Data-Science- und KI-Projekten. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach ...

KOHLS

Staff Data Architect (Remote)

Menomonee Falls, WI · On-site +1

$64 - $82.25/hr

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience. * 7+ years of experience in data architecture, data ...

NV5

Remote Sensing Technician

Sheboygan Falls, WI · Remote

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... science, engineering program or related field * Aviation Background * Ground Survey Background

New

University of Wisconsin-Madison

Scientist

Madison, WI · On-site +1

$72K/yr

... remote sensing products, weather/climate model outputs, hydrologic science, data science, and stochastic modeling. Preferred Qualifications: A successful candidate will have background and ...

UnitedHealth Group

Sr Data Engineer - Remote

La Crosse, WI · On-site +1

$112K - $135K/yr

This is an exciting remote opportunity to drive technical transformations, adopt modern cloud ... Bachelor's degree in Computer Science, Engineering, Data Engineering, or a related technical field ...

UnitedHealth Group

Sr Data Engineer - Remote

La Crosse, WI · Remote

$112K - $135K/yr

This is an exciting remote opportunity to drive technical transformations, adopt modern cloud ... Bachelor's degree in Computer Science, Engineering, Data Engineering, or a related technical field ...

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All JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Wisconsin

Remote Meta Data Science information

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

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

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in Wisconsin? The most popular types of Meta Data Science jobs in Wisconsin are:
What are popular job titles related to Remote Meta Data Science jobs in Wisconsin? For Remote Meta Data Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in Wisconsin look for? The top searched job categories for Remote Meta Data Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Meta Data Science jobs? Cities in Wisconsin with the most Remote Meta Data Science job openings:
Remote Meta Data Science jobs near you
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

Other

Posted 14 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,438 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

What Kohl's employees say

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Benefits

Hours and flexibility

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