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Part Time Data Scientist Machine Learning Jobs in Denver, CO

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Part Time Data Scientist Machine Learning information

See Denver, CO salary details

$38.6K

$126.3K

$202.3K

How much do part time data scientist machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for part time data scientist machine learning in Denver, CO is $126,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $140,000.00 per year, depending on experience, location, and employer.

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

Yes, it is possible to work part-time as a data scientist. Many companies offer flexible schedules or project-based roles that allow data scientists to work fewer hours, especially for freelance or consulting positions. However, full-time roles are more common, and part-time opportunities may require strong self-management and relevant skills in machine learning, programming, and data analysis.

How do part time data scientists specializing in machine learning typically collaborate with full-time teams and stakeholders?

Part-time data scientists in machine learning roles often work closely with full-time team members through regular meetings, collaborative project management tools, and clear documentation. They may be responsible for specific components of a project, such as data preprocessing, model development, or evaluation, and are expected to provide frequent updates and integrate their work with the broader team’s efforts. Effective communication and proactive time management are key, as part-time professionals usually need to balance their limited hours with project milestones and cross-functional collaboration. This structure allows part-time data scientists to contribute significant value while maintaining flexibility.

What is the difference between Part Time Data Scientist Machine Learning vs Part Time Data Analyst?

AspectPart Time Data Scientist Machine LearningPart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning algorithmsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentFocus on developing predictive models, machine learning algorithms, and advanced analyticsData cleaning, reporting, and descriptive analysis of datasets
Employer & Industry UsageTech companies, finance, healthcare, and industries leveraging AI and predictive analyticsRetail, marketing, finance, and other sectors requiring data reporting and insights

Part Time Data Scientist Machine Learning roles focus on building predictive models and applying machine learning techniques, requiring specialized skills and advanced knowledge. In contrast, Part Time Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential but differ in complexity and technical depth.

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

To thrive as a Part Time Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as experience with data visualization tools and cloud platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights for stakeholders and collaborate within teams. These competencies ensure you can develop accurate models, deliver actionable results efficiently, and adapt to the dynamic needs of part-time project work.

What does a part time data scientist specializing in machine learning do?

A part time data scientist with a focus on machine learning uses statistical methods and algorithms to analyze data and build predictive models, typically on a flexible or reduced schedule. They work with datasets to extract insights, clean and prepare data, train machine learning models, and help organizations make data-driven decisions. Their responsibilities may include collaborating with teams, presenting findings, and deploying models, but on a part-time basis, allowing for work-life balance or the pursuit of additional projects. This role is ideal for those seeking to contribute their expertise without committing to a full-time position.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Denver, CO?

The most popular types of Data Scientist Machine Learning jobs in Denver, CO are:

Part Time Data Scientist Machine Learning jobs near you
Infographic showing various Part Time Data Scientist Machine Learning job openings in Denver, CO as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $126,332 per year, or $60.7 per hour.

Senior Salesforce Data Cloud Solution Architect (Denver, CO)

CEDENT

Denver, CO

$40 - $60/hr

Part-time, Contractor

Medical, Dental, Vision, PTO

Re-posted 8 days ago

Job description

We seek a Salesforce Solution Architect with strong data architecture and integration expertise to lead the design, deployment, and optimization of their new Salesforce Data Cloud implementation. This role requires someone with a deep understanding of Salesforce architecture, data modeling, and customer data management who can develop scalable, innovative solutions. The ideal candidate will bring their knowledge of Salesforce solutions to shape and launch the Data Cloud, working closely with cross-functional teams to align Data Cloud capabilities with business objectives-even if Data Cloud itself is new to them.

Job Duties - Guide the architecture and design of the Salesforce Data Cloud solution, ensuring it meets business needs, scalability, and compliance standards. Lead data strategy, leveraging previous experience in data management and modeling to build a robust customer data model optimized for Salesforce Data Cloud. Develop and oversee data integration strategies, integrating data from other systems into Salesforce Data Cloud with tools such as MuleSoft and APIs to ensure accuracy and integrity.

Provide hands-on leadership and mentorship to teams working with Data Cloud, sharing best practices in configuration and technical implementation. Establish and manage data governance to meet compliance (e.g., GDPR, CCPA) and ensure data security. Collaborate with marketing, sales, IT, and service teams to gather requirements, design solutions, and communicate effectively with both technical and non-technical stakeholders

Develop detailed documentation and lead training sessions to support user adoption and maximize the impact of Salesforce Data Cloud. Job Requirements - 8+ years of experience with Salesforce products and. Proven experience in data modeling, ETL, and handling large-scale data.

Strong knowledge of data integration and API-based integrations (experience with MuleSoft or other integration tools is desirable). Proficiency in SQL and a solid understanding of data management best practices. Exceptional communication skills for explaining complex technical concepts to diverse audiences.

Demonstrated problem-solving skills and a proactive approach to data solutions. ALL EXPERIENCE MUST BE VERIFIABLE Desired Skills & Experience - Familiarity with Salesforce Marketing Cloud, Tableau, or other customer data platforms. Salesforce Certified Architect certifications (e.g., Application Architect, Data Architect, Integration Architect) Experience with AI and machine learning integrations

Compensation Hourly Rate Range - $40-$60/ hr Benefits for this role include: Health, Dental, and Vision Insurance Paid Time Off (vacation and holidays) Paid Sick Leave (HFWA-Compliant) - available to all employees, including part-time and temporary staff, for health and safety needs (Cedent provides all legally required benefits under Colorado law, including HFWA-compliant sick leave.) Application Details How to Apply: Submit your resume and cover letter via Cedent Careers Portal at www.cedentinc.com/careers or via email to hr@cedentinc.com. Deadline: Applications accepted until 31sOct 2025, 11:59PM CST We are an Equal Pay Employer. All employment decisions, including compensation, benefits, hiring, training, and promotions, are made based on merit, qualifications, and business needs

We do not discriminate on the basis of gender, race, ethnicity, age, disability, sexual orientation, or any other protected characteristic. We are committed to ensuring equal pay for equal work and regularly review our compensation practices to promote fairness, equity, and transparency across our organization. Department: Preferred Vendors This is a contract position.

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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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