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Data Science Project Jobs (NOW HIRING)

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

Lead end-to-end data science projects using agile and iterative approaches. * Develop and deploy AI/ML models, including propensity modeling. * Drive data engineering requirements to support model ...

Project Manager, AI and Data Science

Pipersville, PA · Hybrid

$52.75 - $71.25/hr

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

Manager of Data Science

Boulder, CO · On-site

$160K - $215K/yr

... projects into products, and the ability to evangelize data science and create vision and motivation ... You will work closely with cross-functional leaders to define and execute on our product strategy.

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

AD, Data Science

Bellevue, WA · On-site +1

$189.68K - $296K/yr

Lead data science projects through development lifecycle including offline evaluation, deployment, experimentation, feedback, and model improvements. * Formalize procedures about how models are ...

Design, implement, and analyze data science projects to improve the efficiency of Copart Operations * Apply critical thinking to ensure data integrity and quality control is applied to each dataset ...

AD, Data Science

Bellevue, WA · On-site

$189.68K - $296K/yr

Lead data science projects through development lifecycle including offline evaluation, deployment, experimentation, feedback, and model improvements. * Formalize procedures about how models are ...

Associate Data Scientist II

Saint Louis, MO · Hybrid

$57.40K - $57.80K/yr

Contribute to the projects of the data science team, including delivery of high-quality data, self-service, and machine learning and Generative AI solutions, aligning to the overall strategic ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

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Data Science Project information

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How much do data science project jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for data science project in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Data Science Project roles, and why are they important?

To thrive in Data Science Project roles, you need a solid background in statistics, programming (often Python or R), and knowledge of data modeling, typically supported by a relevant degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL, machine learning libraries (such as scikit-learn or TensorFlow), and sometimes cloud platforms is common. Strong problem-solving abilities, effective communication, and collaboration skills help translate complex findings into actionable business insights. These skills ensure data-driven projects are executed efficiently, results are understood by stakeholders, and organizational goals are met.

What are some common challenges faced when managing a data science project, and how can they be addressed?

Managing a data science project often involves challenges such as unclear project objectives, data quality issues, and aligning technical work with business goals. Communication between data scientists, stakeholders, and IT teams is crucial to ensure everyone is on the same page regarding expectations and deliverables. Establishing clear project milestones, maintaining thorough documentation, and validating data sources early in the process can help mitigate these issues. Regular check-ins and agile practices also support adaptability as project requirements evolve.

What is a Data Science Project?

A Data Science Project is a structured process in which data scientists use statistical, analytical, and machine learning techniques to extract insights or solve problems using data. Such projects typically involve steps like data collection, data cleaning, exploratory data analysis, modeling, and communicating results. The goal can range from predicting trends and automating tasks to uncovering hidden patterns in data. Successful data science projects often require collaboration between domain experts, data engineers, and analysts to ensure the solutions are practical and actionable.

What is the difference between Data Science Project vs Data Analyst?

AspectData Science ProjectData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Certified Data Scientist are commonOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentProject-based, involving data collection, cleaning, modeling, and presentation; often in tech, finance, or healthcare industriesFocuses on data reporting, visualization, and insights generation; works across various industries
Employer & Industry UsageUsed in organizations aiming to develop predictive models and advanced analyticsUsed in organizations needing routine data reporting and business insights

In summary, a Data Science Project involves developing complex models and analytics, often requiring advanced skills and certifications, while a Data Analyst focuses on interpreting data and creating reports for business decision-making. Both roles are essential but differ in scope and technical depth.

More about Data Science Project jobs
What are the most commonly searched types of Data Science Project jobs? The most popular types of Data Science Project jobs are:
Infographic showing various Data Science Project job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Project Manager, AI and Data Science

Project Manager, AI and Data Science

Tyndale

Houston, TX • Hybrid

$49.50 - $66.75/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Overview

Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI, Scribe, and similar tools.

You will manage end to end delivery for Data Science projects on AWS and for enterprise SaaS AI rollouts, driving both technical execution and business adoption. On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement of adoption and business value.

HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).

About Tyndale 

The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector - including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We're a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We're the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.

Responsibilities
  • Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews, and retros; coach team members on Agile practices and remove impediments.
  • Manage a backlog for Data Science and AI platform work in Jira.
  • Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models and Generative AI products.
  • Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use.
  • Own project scope, schedule, and budget tracking for assigned initiatives, including dependency management, change control, and stakeholder communication.
  • Maintain an active risk and issue log; drive mitigations and escalations that protect delivery commitments and compliance requirements.
  • Define and track success metrics such as sprint velocity, on time delivery, escaped defects, model reproducibility, data quality SLAs, SaaS AI adoption rates, and stakeholder satisfaction.
  • Support vendor management activities for SaaS AI and AWS partners, including SOWs, renewals, and contract performance.
  • Ensure high quality documentation for requirements, test plans, runbooks, model cards, governance artifacts, and change decisions.
  • Support training, UAT, and enablement to help business teams adopt AI driven workflows and tools.
Qualifications
  • Minimum of 5 years of professional project management experience in technology, analytics, or data driven environments.
  • Bachelor's Degree required.
  • PMP certification required.
  • Proven experience delivering Data Science or machine learning projects, including coordination of data ingestion, feature engineering, and model deployment.
  • Experience managing SaaS AI product implementations such as ChatGPT Enterprise, Slack AI, Scribe, Veo 3, or similar tools, with a clear focus on change management and user adoption.
  • Proficiency with Agile delivery tools (Jira / Confluence).
  • Excellent written and verbal communication skills, with a track record of concise, executive ready reporting.

Preferred qualifications

  • Scrum Master certification (CSM, PSM, or equivalent) strongly preferred.
  • Familiarity with statistics, analytics, and Data Science concepts.
  • Experience defining and maintaining KPI dashboards for AI and data initiatives.

 

Benefits

  • Health & Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
  • Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
  • Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.
  • Career Growth & Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
  • Culture & Perks: Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.

 

Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com/careers.

E.O.E

#LI-SP1 #LI-Hybrid

Employment Type: OTHER