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Data Science Project Jobs (NOW HIRING)

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

... data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility. • Ensure compliance with onsemi's Responsible AI Use and Governance ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77K - $108K/yr

Leads and drives the execution of data science projects including predictive modeling, natural language processing. * Applies mathematical, problem-solving, and coding skills to manage big data ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Leads and drives the execution of data science projects including predictive modeling, natural language processing. * Applies mathematical, problem-solving, and coding skills to manage big data ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Leads and drives the execution of data science projects including predictive modeling, natural language processing. * Applies mathematical, problem-solving, and coding skills to manage big data ...

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 ...

Brooksource

Lead Data Scientist

Philadelphia, PA · On-site

$163K - $173K/yr

Champion and implement best practices for the full data science lifecycle. Ensure project execution aligns with the CRISP-DM methodology and that all projects adhere to the principles of the NIST AI ...

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 ...

campus4tech

Data Scientist

Manhattan, NY · On-site

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 ...

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 ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

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 ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

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 ...

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Data Science Project information

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$16

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How much do data science project jobs pay per hour?

As of Jun 25, 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 June 2026, with employment types broken down into 3% As Needed, 66% Full Time, 28% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.
Manager of Data Science

Manager of Data Science

Providence Digital Innovation Group

Seattle, WA • Remote

Other

Posted 20 days ago

Job description

This is a remote role.  We would prefer that the successful candidate located in the Seattle area within the PST/MST time zones.

Providence is one of the largest not-for-profit health systems in the United States.

At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.

The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team.  We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.

DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations around the country on how to conceive, engineer and launch effective health care solutions.

Recently funded DIG startups include DexCare and Praia Health. 

Success in this role means you can join future funded startups on the ground floor. 

Job Summary:
 
Are you an experienced Data Scientist who wants to lead a new analytics program focused on helping patients effectively navigate their care through a seamless digital experience? 
 
As a Data Science Manager, you will lead a team of data scientists in helping the Digital Innovation Group understand the patient's digital journey and how our products are impacting their health outcomes and the performance of our healthcare system.  
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. Your team will be responsible for building churn, retention and LTV models for our Providence App as well as developing the next best action recommendation model personalizing content by patient cohorts. Your team's work will contribute directly to the success of growing, maintaining and improving health outcomes of our patients utilizing digital products developed by DIG. 
You will be expected to work with analytics and product leaders to understand their top priorities to set the strategic direction of your data science projects. You will be a player/coach on the team, helping define the team's roadmap, ways of working (process management) and provide technical guidance and oversight.  
The Data Science Manager will play a critical role in leading the data driven approach to incubation and commercialization of our product portfolio helping Providence innovate in healthcare technology affecting millions of patients' health outcomes.  
 
Required Qualifications:
  • Bachelor's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling. 
  • 4 years Leadership experience.
Preferred Qualifications:
  • Master's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • Coursework/Training Data science or project management     
  • 1 year Experience in the Healthcare field.
  • 1 year Experience in project management.
  • Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.) 

Apply