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Data Scientist Co Jobs (NOW HIRING)

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed ... They are seeking a Data Scientist to join the team full-time to work with other Data Science and ...

Data Scientist

Washington, DC · On-site

$114K - $190K/yr

MANTECH seeks motivated, career, and customer-oriented Data Scientist for a new initiative within ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges by applying your strong critical thinking, academic expertise, and ability to quickly master new ...

Data Scientist

Orlando, FL · On-site

$107K/yr

Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies ...

As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges by applying your strong critical thinking, academic expertise, and ability to quickly master new ...

Data Scientist

Washington, DC · On-site

$141K - $236K/yr

MANTECH seeks motivated, career, and customer-oriented Data Scientist for a new initiative within ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Data Scientist

Washington, DC · On-site +1

$141K - $236K/yr

MANTECH seeks motivated, career, and customer-oriented Data Scientist for a new initiative within ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

High-performance teams working alongside industry-leading data scientists and credit experts * Vibrant, innovative culture that celebrates wins and solves complex problems together Global Impact ...

Our Team Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives ...

High-performance teams working alongside industry-leading data scientists and credit experts * Vibrant, innovative culture that celebrates wins and solves complex problems together Global Impact ...

The Data Scientist drives the organization's advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation.

Our Team Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives ...

As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...

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Data Scientist Co information

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$37.5K

$122.7K

$196.5K

How much do data scientist co jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data scientist co 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.

What are some common challenges faced by Data Scientist Co. professionals when working with cross-functional teams?

Data Scientist Co. professionals often collaborate with diverse teams, including engineers, product managers, and business analysts. One common challenge is translating complex data insights into actionable recommendations that are easily understood by non-technical stakeholders. Additionally, aligning data science projects with business objectives and managing expectations around project timelines can require clear communication and adaptability. Building strong relationships and proactively addressing knowledge gaps within the team can help ensure smoother collaboration and better project outcomes.

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

To thrive as a Data Scientist, you need expertise in statistical analysis, machine learning, data manipulation, and typically a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools such as Tableau, and experience with big data platforms like Hadoop or Spark are commonly required. Strong problem-solving abilities, effective communication, and curiosity set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from complex data and effectively communicating findings to drive business decisions.

What are Data Scientist Co jobs?

Data Scientist Co jobs, often referred to as Data Scientist Co-ops or internships, are temporary positions designed for students or early-career professionals looking to gain hands-on experience in data science. These roles typically involve working with data analysis, machine learning, and statistical modeling under the supervision of experienced data scientists. They provide valuable exposure to real-world datasets, business problems, and industry-standard tools, preparing individuals for full-time data science roles after graduation.

What is the difference between Data Scientist Co vs Data Analyst?

AspectData Scientist CoData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming experienceBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentCollaborates with data engineering and machine learning teams; focuses on predictive modelingPrepares reports, visualizations, and descriptive analysis; works closely with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Data Scientist Co roles typically require advanced analytical skills and programming knowledge, focusing on predictive modeling and machine learning. Data Analysts concentrate on interpreting data, creating reports, and visualizations to support business decisions. While both roles involve data handling, Data Scientist Co positions are more technical and complex, often requiring higher education and specialized skills.

What cities are hiring for Data Scientist Co jobs? Cities with the most Data Scientist Co job openings:
What states have the most Data Scientist Co jobs? States with the most job openings for Data Scientist Co jobs include:

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Company Description
About Publicis Groupe
Publicis Groupe, known for its award-winning creativity, best-in-class technology, digital and consulting expertise, is the world's third largest communications group. With 80,000+ colleagues in over 100 countries, the Groupe has four Solution hubs: Creative with Publicis Communications, Media with Publicis Media, Digital business transformation with Publicis. Sapient, and Health & Wellbeing with Publicis Health.
Since 2014 with the acquisition of Sapient, Publicis Groupe has undergone a profound transformation by scaling a new model connecting data, creativity, and technology. The Groupe has continued this journey with the 2019 acquisition of Epsilon to further scale the data-led offering and provide true momentum to our client's own transformation.
This model, with a country-led approach, is called the "Power of One" and gathers all the capabilities of the Groupe under one roof, putting clients at the core of the organization.
Team Overview
Publicis Groupe empowers clients with the highest fidelity audience and analytics capabilities that predict, power, and prove business outcomes.
With our investments in Epsilon, Sapient, and Marcel, we power creative and media personalization at scale for our clients. Only Publicis can:
  • Predict sources of business volume via the highest fidelity identity data
  • Power personalization through creative, media and production through our AI platform and persistent, durable identity-linked activation
  • Prove outcomes through direct line of sight into ID-level exposure, behavior and transactions

What is Groupe Solutions?
Groupe Solutions is an accelerant at the center of the Groupe. Made up of audience strategists, data scientists, and analytics practitioners, Groupe Solutions will partner with Groupe leaders to win or retain strategic accounts, and serve as business owners of CoreAI.
Overview
The Data Scientist at Alpha Labs will collaborate with audience strategist and marketing technologists to identify and activate data driven applications across a connected consumer journey. This role will operate at the leading edge of new business pursuits and strategic innovation-uncovering white space opportunities and architecting breakthrough, data-driven audience solutions that differentiate Publicis Groupe in the market.
The Data Scientist will partner across the broader company to spearhead groundbreaking AI-driven advertising solutions. This includes contributing thinking on new business pitches and key client engagements to innovate never-been-done-before solutions. Collaborating with Groupe Solutions leads and business development teams to employ Publicis AI products and exclusive data tools.
Responsibilities
The ideal candidate will:
  • Partner with Audience Strategy leads to identify and model audience whitespace opportunities using first- and third-party data, syndicated research, and behavioral signals.
  • Design and deploy predictive segmentation, targeting, and measurement models to fuel innovative campaign strategies and new business pursuits.
  • Build Python-based data science solutions and deploy to Databricks, AWS and Azure environments to scale strategic audience solutions.
  • Translate complex datasets into compelling visualizations, frameworks, and narratives that differentiate Publicis Groupe in competitive pitch environments.
  • Collaborate with creative, media, and technology partners to embed data science outputs into end-to-end communication planning.
  • Evolve and co-develop proprietary audience intelligence tools in collaboration with CoreAI, enhancing Groupe-level product innovation.
  • Actively contribute to strategic responses in RFPs and pursuits-applying data science to unlock bold, bespoke audience experiences.
  • The ideal candidate should have a deep understanding of AI, data science, and media technology.

Your Impact
  • Strategic Edge in New Business: Use machine learning and advanced modeling to drive white space identification and predictive audience planning that wins pitches.
  • Innovation Engine: Help architect new solutions that blend AI, insight, and data storytelling into a differentiating market position.
  • Collaboration Catalyst: Act as a bridge between technical development and strategic application-making complex models understandable and actionable for stakeholders.
  • Product Builder: Shape the future of Publicis' audience intelligence and data science products alongside product and business development teams.

Qualifications
The successful candidate should have:
  • 3-4 years of experience in Python programming and data analysis (Pandas, NumPy, Scikit-learn), ideally within a media, marketing, or tech context.
  • Advanced skills in regression, predictive modeling, statistical inference, and experimental design.
  • Familiarity with Marketing Mix Models, attribution techniques, and consumer behavior datasets.
  • Experience visualizing insights for C-level or new business audiences; ability to translate data into decision-making tools.
  • Proven experience deploying applications and models into cloud environments, Databricks experience a plus.
  • Strong interpersonal skills with the ability to operate in high-pressure, fast-paced environments (e.g., pitch rooms, RFP war rooms).

Candidates stand out when they:
  • Combine strategic vision with hands-on execution in high-pressure pitch environments
  • Thrive in fast-paced, entrepreneurial teams that prioritize innovation and experimentation
  • Can make the complex simple and the theoretical actionable
  • Possess an instinct for cultural signals, behavioral shifts, and emerging data opportunities

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 USMSTACompliance@publicis.com.
Compensation Range: $72,390 - $109,480 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 10/20/2025.
All your information will be kept confidential according to EEO guidelines.
Veterans Encouraged to Apply.
#LI-MM3
#DNI
Compensation Range: USD $ - . 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 6/28/2025.