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Data Science Project Jobs (NOW HIRING)

CorVel Corporation

Data Science Manager

Irvine, CA · On-site

Translate business requirements into actionable data science projects aligned with organizational strategy * Collaborate cross-functionally to identify data sources, ensure data quality, and deploy ...

Corvel

Data Science Manager

Irvine, CA · Remote

Translate business requirements into actionable data science projects aligned with organizational strategy * Collaborate cross-functionally to identify data sources, ensure data quality, and deploy ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

Translate business requirements into actionable data science projects aligned with organizational strategy * Collaborate cross-functionally to identify data sources, ensure data quality, and deploy ...

Brewer Science, Inc.

Principal, Data Scientist

Collaborate with senior leadership to define long-term data science initiatives and prioritize high-value projects. * Promote a culture of innovation by exploring new methodologies and technologies ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

Demonstration of previous data science projects is preferred * Strong interpersonal skills and ability to work with cross-functional teams DIVISION : Corporate U.S. Venture will not offer sponsorship ...

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How much do data science project jobs pay per hour?

As of Sep 14, 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 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 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 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 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.

What projects can I do for data science?

Data science projects can include analyzing datasets to uncover insights, building predictive models, developing data visualizations, or working on machine learning algorithms. These projects help demonstrate skills in programming, statistics, and tools like Python, R, or SQL, and are valuable for building a portfolio or gaining practical experience.
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What are the most commonly searched types of Data Science Project jobs?

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Data Science Project jobs near you
Infographic showing various Data Science Project job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.

Associate Director, Data Science

Plano, TX • On-site

Publicis Groupe Holdings B.V
Advertising and Public Relations Services • 10K+ employees
Learn more about Publicis Groupe Holdings B.Vexternal

$56K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Company description
Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
This role at Digitas will serve as a member of Publicis Groupe's strategic internal agency, Constellation.
Constellation serves as an internal-facing brand formed by a collective of Publicis Groupe agencies to address our client's creative, data, strategy, media, and technology requirements. Team members collaborate across agencies while functioning as sub-divisions within their respective brands to provide dedicated support for the client. By acting as a unified interface, Constellation eliminates operational silos and presents a single service entity and primary point of contact for the client.
Overview
By implementing conceptual data frameworks and developing marketing science solutions, The Associate Director, Data Science is a key partner for our client and internal teams. In this role, you will show thought leadership in bringing innovative data science methodologies that answer our client's marketing and strategy questions.
Responsibilities
Client & Business Impact
  • Serve as a strategic advisor to clients and internal stakeholders on data science applications and approaches
  • Translate analytical work into clear business value and actionable recommendations
  • Identify opportunities to expand data science impact and contribute to organic account growth

Project & Cross-Capability Leadership
  • Lead multiple concurrent data science projects across clients and capabilities with varying complexity
  • Define project approach, manage risks, and align stakeholders on priorities and outcomes
  • Partner across media, strategy, analytics, and technology teams to deliver integrated solutions
  • Represent data science across cross-functional initiatives and client engagements

Thought Leadership & Innovation
  • Provide a clear point of view on statistical methods, machine learning, and measurement approaches
  • Evaluate, develop, and socialize new methodologies, tools, and AI-driven solutions
  • Apply innovative thinking to solve complex marketing and business problems

Team Leadership & Culture
  • Mentor and develop junior team members through coaching and feedback
  • Foster a collaborative, inclusive, and high-performing team environment
  • Contribute to capability development, training, and best practices

Qualifications
  • 7-9 years of experience in data science, analytics, or marketing science within an agency, consulting, or technology environment
  • Strong foundation in statistical modeling, machine learning, causal inference, and experimental design
  • Proficiency in SQL, Python and/or R; experience with distributed systems or large-scale data processing preferred
  • Experience with Marketing Mix Modeling (MMM), attribution, and incrementality measurement
  • Hands-on experience with cloud platforms (preferably GCP: BigQuery, Looker, DataProc) and deploying data science solutions
  • Strong understanding of modern AI/ML approaches and their practical applications
  • Proven ability to connect data science solutions to business outcomes and client value
  • Demonstrated experience leading multiple projects and influencing cross-functional teams
  • Experience managing and developing data science talent
  • Excellent communication skills, with the ability to synthesize complex concepts for a range of audiences
  • Comfortable navigating ambiguity in fast-paced, evolving environments

Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/15/2026.

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