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Remote Meta Data Science Jobs in Wisconsin (NOW HIRING)

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162K/yr

Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products What Skills You Have Required * 4+ years of experience in software ...

Deloitte

GCP Manager

Milwaukee, WI · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Rural Mutual Insurance

Data Analyst

Madison, WI · On-site +1

$100K - $115K/yr

This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ... Computer Science, Information Technology, or related field, or an equivalent combination of ...

Qualysoft

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und Betrieb von End-to-End Data-Science- und ML-Workflows Implementierung von ML-Orchestrierungslosungen ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ... Bachelor's Degree in Computer Science, Information Technology, or related field, or an equivalent ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

This is a remote position. * Candidate must live and work in Wisconsin. * Requires eligibility to ... Bachelor's Degree in Computer Science, Information Technology, or related field, or an equivalent ...

Hikinex

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Bachelor's or Master's Degree in Computer Science, Data Science, Aerospace Engineering, or a ...

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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
Senior Data Engineer (Remote)

Senior Data Engineer (Remote)

KOHLS

Menomonee Falls, WI • Remote

$123K - $162K/yr

Other

Posted 24 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

As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl’s retail offerings. 

What You’ll Do

  • Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach

  • Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team

  • Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes

  • Facilitate group discussions and team ceremonies and develop a shared context

  • Give and receive feedback that’s empathetic, actionable and specific

  • Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify

  • Establish and lead product engineering and software standards

  • Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test

  • Research and stay up to date on tech market trends and practices

  • Lead technical initiatives not only on the team but also across the department

  • Additional tasks may be assigned

Addendum

SENIOR BIG DATA SOFTWARE ENGINEER

  • Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

  • Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).

  • Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).

  • Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.

  • Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.

  • Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.

  • Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies

  • Optimize data performance, scalability, and cost efficiency across GCP components.

  • Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.

  • Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.

  • Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products

What Skills You Have

Required

  • 4+ years of experience in software development

  • Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies

  • In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development

Preferred

  • 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 platforms (GCP, AWS, or Azure)

  • Familiarity and experience with XP (Extreme Programming) 

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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