ZipRecruiter

Log In

2

Remote Junior Data Scientist Jobs in Racine, WI (NOW HIRING)

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Deloitte

Cyber Data Protection Manager

Milwaukee, WI · Remote

$109K - $147K/yr

Perform the role of mentor and coach to assist junior staff to develop skills by providing feedback ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Qualifications * Bachelor's or master's degree in computer science or equivalent engineering ... Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB

MSI Data LLC

Product Owner

Milwaukee, WI · Remote

... and remote position, at MSI Data is the ideal opportunity for an experienced, talented, and ... Position Qualifications: * BS or similar certification in Computer Science or related discipline ...

micro1 AI

AI Trainer - Microbiology Expert

Kenosha, WI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Expleo

Senior PHP Software Engineer

Milwaukee, WI · Remote

Fully Remote (Milwaukee, WI) Employment Type: Full-Time Are you a senior-level software engineer ... Manage data synchronization, transformation, validation, and interoperability across multiple ...

New

Expleo

Senior PHP Software Engineer

Milwaukee, WI · Remote

Fully Remote (Milwaukee, WI) Employment Type: Full-Time Are you a senior-level software engineer ... Manage data synchronization, transformation, validation, and interoperability across multiple ...

New

Avidity Science LLC

Sales Coordinator

Waterford, WI · Remote

$55K - $70K/yr

Remote, but preferred to be near Waterford, WI. Job Type: Full-time, Remote Key Job ... Prepare reports, sales data, and pipeline updates * Serve as a point of contact for customer ...

Network Health

Data Warehouse Engineer I

Brookfield, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

previous pagenext page

Showing results 21-40

All JobsData Scientist JobsRemote Junior Data Scientist JobsRemote Junior Data Scientist Jobs in Racine, WI

Remote Junior Data Scientist information

See Racine, WI salary details

$35.2K

$115.1K

$184.3K

How much do remote junior data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote junior data scientist in Racine, WI is $115,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,500.00 per year, depending on experience, location, and employer.

What are some common challenges remote junior data scientists face when collaborating with distributed teams?

Remote Junior Data Scientists often face challenges such as effective communication, aligning on project goals, and managing time zone differences when working with distributed teams. It can be difficult to get immediate feedback or clarification, which may slow down tasks like data cleaning or model validation. To overcome these challenges, it's important to proactively communicate through regular check-ins, use collaboration tools like Slack or JIRA, and document work clearly. Building relationships with teammates and seeking mentorship can also help you grow and stay engaged in a remote environment.

What is the difference between Remote Junior Data Scientist vs Remote Data Analyst?

AspectRemote Junior Data ScientistRemote Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some knowledge of programming (Python, R)Bachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, data modeling, and machine learningData reporting, cleaning, visualization, and interpreting data for business insights
Employer & Industry UsageTech companies, startups, finance, healthcareRetail, marketing, finance, consulting

Remote Junior Data Scientists focus on building models and applying machine learning techniques, requiring programming skills and a background in data science. Remote Data Analysts primarily handle data cleaning, visualization, and reporting, often with less emphasis on advanced modeling. Both roles are in high demand across various industries, but they differ in technical complexity and daily tasks.

What are the key skills and qualifications needed to thrive as a remote junior data scientist, and why are they important?

To thrive as a Remote Junior Data Scientist, you generally need a solid background in statistics, programming (usually Python or R), and a degree in a quantitative field such as computer science, mathematics, or engineering. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization libraries, as well as experience with machine learning frameworks such as scikit-learn or TensorFlow, is typically expected. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for succeeding in a remote environment. These competencies enable you to analyze data effectively, communicate insights clearly, and independently contribute to team goals from a remote setting.

What does a remote junior data scientist do?

A Remote Junior Data Scientist assists in analyzing and interpreting complex data to help organizations make informed decisions, all while working from a location outside the traditional office. Their tasks often include cleaning and organizing data, building basic models, creating visualizations, and assisting senior data scientists with larger projects. They primarily use programming languages like Python or R and work with databases and data visualization tools. Communication and collaboration with team members often happen through digital platforms, making remote work possible. This role is ideal for those with strong analytical skills and a passion for problem-solving using data.
What job categories do people searching Remote Junior Data Scientist jobs in Racine, WI look for? The top searched job categories for Remote Junior Data Scientist jobs in Racine, WI are:
What cities near Racine, WI are hiring for Remote Junior Data Scientist jobs? Cities near Racine, WI with the most Remote Junior Data Scientist job openings:
Remote Junior Data Scientist jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Racine, WI • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply