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Part Time Remote Data Science Jobs in Kansas (NOW HIRING)

$98K - $118K/yr

Education BS in Computer Science and a minimum of five years of experience delivering production ... Environment US/LatAm-based remote working within PT/ET time zones with the potential for occasional ...

Hands-On Senior Executive - Corporate Development - Remote, Part Time Harris Computer seeks an ... Utilizes Harris CRM to record activities, notes and data for pipeline management and decision ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Part Time Remote Data Science information

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

What are the key skills and qualifications needed to thrive as a part time remote data scientist?

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.

How do part time remote data scientists typically collaborate with full time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in remote roles where flexible schedules are common. Part-time positions may require proficiency in tools like Python or R and often involve project-based or consulting work, making them suitable for individuals seeking flexible employment arrangements.

What are the most commonly searched types of Remote Data Science jobs in Kansas?

The most popular types of Remote Data Science jobs in Kansas are:

What are popular job titles related to Part Time Remote Data Science jobs in Kansas?

For Part Time Remote Data Science jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Science jobs in Kansas look for?

The top searched job categories for Part Time Remote Data Science jobs in Kansas are:

Infographic showing various Part Time Remote Data Science job openings in Kansas as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Total Performance Consulting
11 - 50 employees

$98K - $118K/yr

Part-time

Posted 5 days ago


Job description

Responsibilities

Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.

Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.

Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.

Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.

Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team

You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.

MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.

Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.

Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.

Python, working proficiency for scripting, automation, and data pipeline support is a plus.

Tools

Experience maintaining projects using a distributed version control system such as Git and GitHub.

Experience in automated pipeline deployment and schemas into production environments.

You should be experienced with agile methods and the concepts behind continuous delivery.

We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.

We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.

Education

BS in Computer Science and a minimum of five years of experience delivering production solutions

Focus

Minimum 5+ years working in Data Science.

We expect you to have a passion and experience in shipping and maintaining production software products.

You must have strong verbal and written skills.

We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.

Environment

US/LatAm-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices.

We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.