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Flexible Data Science Jobs (NOW HIRING)

You will report into Director, Data Science on our Merchant Analytics team in our Analytics ... For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Flexible Spending Account * Retirement Programs * Disability Plans * Life Insurance * Accident Plan

Director, Data Science

Chicago, IL ยท On-site

$140K - $170K/yr

We're looking for explorative, independent data scientists to grow with us as we tackle ever ... Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days ...

Own the data science and applied AI roadmap for operations-agentic systems, forecasting, lead ... Flexible time off with ample learning and development opportunities to continue growing your career.

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Flexible Spending Account * Retirement Programs * Disability Plans * Life Insurance * Accident Plan

Our Data Science team builds and maintains the algorithmic systems - spanning search ... Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are ...

Associate Director, Data Science

Knoxville, TN ยท On-site

$56K - $56K/yr

This role is foundational to leading our Data Science Team, which partners with our Analytics ... Flexible PTO * Generous parental leave for primary and non-primary caregivers * Medical (PPO or ...

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Flexible Data Science information

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$37.5K

$122.7K

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How much do flexible data science jobs pay per year?

As of Jun 22, 2026, the average yearly pay for flexible data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a flexible data science role typically structure collaboration and workload across multiple projects?

In a flexible data science role, professionals often work on several projects simultaneously, collaborating with cross-functional teams such as engineering, product management, and business stakeholders. This structure requires strong communication skills and the ability to prioritize tasks effectively. The work environment is usually dynamic, with shifting priorities and the need to adapt to different project requirements. Flexibility in both working hours and methodologies enables data scientists to manage deadlines while delivering actionable insights for diverse business needs.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis and decision-making.

Is a data scientist a flexible job?

A data scientist role can offer flexibility in terms of remote work, flexible hours, and project-based assignments, depending on the employer. Many data scientists work independently or as consultants, which can further enhance flexibility, but job requirements such as deadlines and collaboration may influence this. Skills in programming, data analysis, and tools like Python or R are essential for success in flexible work arrangements.

What is flexible data science?

Flexible data science refers to the practice of applying data science methods, tools, and techniques in a way that adapts to different industries, project requirements, and work environments. Professionals in flexible data science may work remotely, part-time, on contract, or across multiple domains, using skills in statistics, programming, and data analysis to solve a variety of problems. This approach allows both employers and data scientists to adjust workflows and deliverables to fit changing business needs and schedules.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or formal education regardless of age.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What are the key skills and qualifications needed to thrive as a Flexible Data Scientist, and why are they important?

To thrive as a Flexible Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), data visualization tools (such as Tableau or Power BI), and experience with cloud platforms are widely required. Adaptability, problem-solving, and effective communication are crucial soft skills for translating complex data insights into actionable business strategies. These competencies ensure you can handle varied data challenges, deliver valuable insights, and collaborate effectively across dynamic project environments.
More about Flexible Data Science jobs
What cities are hiring for Flexible Data Science jobs? Cities with the most Flexible Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Flexible Data Science jobs? States with the most job openings for Flexible Data Science jobs include:
Infographic showing various Flexible Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 66% Full Time, 29% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Associate Director, Data Science

Publicis Groupe Holdings B.V

Atlanta, GA โ€ข On-site

$56K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


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 Difference" 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.

ย 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. Temporary roles may also qualify for participation in our 401(k) plan after eligibility 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 7/15/2026.Employment Type: FULL_TIME