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Data Science Project Jobs (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge-sharing sessions, and technical discussions. * Learn and apply best practices in data science ...

Home Depot

Senior Data Scientist - MET

Atlanta, GA · On-site

Based on the specific data science project, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, Multimodal AI, Conversational ...

DEUNA

Data Science intern

San Francisco, CA

Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge-sharing sessions, and technical discussions. * Learn and apply best practices in data science ...

Formation Bio

Director, Data Science

Boston, NY

$235K - $307K/yr

Lead and execute complex data science projects that directly advance our drug development portfolio * Develop and implement sophisticated models for therapeutic hypothesis evaluation, including ...

Tyndale

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 ...

Tyndale

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 ...

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Data Science Project information

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How much do data science project jobs pay per hour?

As of Jul 15, 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:
What job categories do people searching Data Science Project jobs look for? The top searched job categories for Data Science Project jobs are:
Data Science Project jobs near you
Infographic showing various Data Science Project job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Technical Project Manager (Data Science)

Technical Project Manager (Data Science)

Vizient, Inc.

Irving, TX • On-site

$77K - $135K/yr

Full-time

Re-posted 26 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will lead complex, enterprise-level technology initiatives within Data Science. You will partner closely with Data Science leadership, business stakeholders, architects, engineers, and external vendors to deliver projects that support Vizient's strategic priorities and long-term technology roadmap. You will ensure projects are delivered on time, within scope, and aligned with operational, security, and architectural standards while regularly communicates project progress, risks, and mitigation strategies.
Responsibilities:
  • Lead cross-functional Data Science projects from initiation to implementation and operational transition utilizing various methodologies.
  • Develop project artifacts including charters, schedules, budgets, status reports, and risk registers.
  • Drive accountability across technical teams, vendors, and business stakeholders.
  • Serve as primary liaison between business owners, Data Science teams, and vendors.
  • Facilitate project meetings, executive updates, and decision-making forums.
  • Communicate project status, risks, and mitigation plans to leadership and executives.
  • Proactively manage risks, issues, dependencies, and change requests.
  • Ensure project objectives align with business outcomes and enterprise technology strategy.
  • Partner with enterprise architects, infrastructure, and data science teams to ensure compliance with standards.
  • Translate technical concepts into business-focused communication for executives and non-technical stakeholders.
  • Oversee vendor deliverables, SOWs, and integration activities.

Qualifications:
  • Relevant degree preferred in Computer Science, Information Systems, Engineering, Business, or related field
  • 2 or more years of relevant experience with IT/Data Science project management and demonstrated success leading enterprise technical initiatives is required.
  • Experience leading small and large projects is required.
  • Experience working in a matrixed environment with cross-functional teams.
  • Strong understanding of Software Development Life Cycle (SDLC), infrastructure, cloud technologies, and enterprise platforms.
  • Proficiency with Smartsheet, MS Project, Jira, ServiceNow, or similar PM tools.
  • Strong communication and stakeholder management skills, including executive-level updates.
  • PMP, PgMP, or PMI-ACP certification highly preferred.
  • Experience supporting healthcare, analytics, or SaaS-based environments preferred.
  • Experience working within Complex IT processes, architecture, and governance preferred.
  • Demonstrated ability to take ownership, work independently, and drive results in a fast-paced environment.
  • Ability to manage multiple priorities, balance competing demands, and meet deadlines.

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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