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Data Science Jobs (NOW HIRING)

The successful candidate will leverage their data science expertise in mining large datasets to drive our efforts in target identification, mechanism of action (MOA) studies, and biomarker strategy ...

New

The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and ...

Data Science Expert

$120 - $170/hr

We are seeking experienced Data Science Experts to help evaluate how effectively AI performs real-world data science tasks. Rather than building models or delivering business analyses yourself, you ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In ...

Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

What you'll do...As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

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Data Science information

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$122.7K

$196.5K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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 a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What cities are hiring for Data Science jobs? Cities with the most 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 Data Science jobs? States with the most job openings for Data Science jobs include:
Infographic showing various Data Science job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Director, Data Science

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Company Description
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Overview
The Director, Data Science is tasked with designing, developing, and delivering advanced ML/AI-based products and analytic solutions integrated into the Publicis CoreAI workflows and end-product offerings. We are seeking a seasoned data science practitioner who has applied his technical expertise to innovative data engineering and ML/AI modeling problems and has delivered end products to internal teams and/or clients. The ideal candidate blends technical-domain expertise with hands-on modeling and data engineering experience in demonstrating structured & unstructured data, innovative modeling techniques, and technology platforms to develop and deploy effective applications that will be embedded in our CoreAI workflows.
Responsibilities
1. Data Science Solutions - Development & Innovation:
• As a Sr. Data Scientist, lend your expertise and provide direction to more junior data scientists to steer the development of essential ML/AI-based data products and analytic solutions for the Publicis CoreAI workflows and marketplace offering. You will function independently or talk to other data scientists and data engineers from partner Publicis teams in-house.
• Partnering with peers in related technical areas (such as technology and product engineering), bring your technical domain expertise to audit/assess our current data science capabilities and offerings to support media & marketing planning and operations functions.
• Operate in a constant 'growth hacking' mode that seeks to enhance our current suite of AI-based analytic data products. Produce Proof-of-Concepts to evaluate new tools.
• Stay ahead of the curve by continuously exploring, evaluating, and adopting innovative technologies to enhance development efficiency.
2. Subject Matter Technical Expertise:
• Work effectively with partner product stakeholders to communicate and translate product and output requirements into AI/ML solution architecture, tools, tasks & code that will improve the Publicis CoreAI offering.
• Skilled in various programming languages, frameworks, and tools to build ML/AI/GenAI applications that address specific issues. Able to adopt new languages and paradigms, applying them to the problem domain where they deliver significant benefit.
• Develop tools enabling teams to produce high-quality code that leads to rapid delivery. Ruthlessly pursue continuous integration and delivery.
• Ability to model in multiple data domains & platforms.
• Apply understanding of elastic scale and build highly available analytic systems.
• Participate or lead technical workshops and discussions with multiple internal stakeholders to define scope, objectives, outcomes, and design criteria for the most effective AI/ML solutions set, as planned.
• Collaborate with cross-functional teams-including product strategists, data & technology engineers, and business analysts-as you develop and deliver innovative AI/ML features and services that will lead to successful workflow implementations.
• Ensure projects adhere to quality standards, timelines, and budgets, managing client expectations effectively (as needed).
• Mentor and develop junior data scientists, starting with your direct teams that you work within
3. Domain Thought-Leadership & Industry Innovation:
• Stay abreast of trends, technologies, and standard processes in the data science field.
• Support internal knowledge-sharing and training programs to elevate the team's expertise.
• Contribute to the company's growth by editing case studies, contributing to white papers, and industry presentations that highlight success stories and innovative analytic approaches.
• Help set a higher standard for the organization in your technical area.
Qualifications
• Minimum of 7 years of experience in data science and advanced analytics.
• Has led the development of AI/ML solutions in a fast-moving, innovation-focused organization in categories such as e-commerce/retail (e.g., Chewy, Wayfair), entertainment/media/travel (e.g., Spotify, Expedia), advertising platforms/services (e.g., Google, Amazon).
• Demonstrable history of hands-on coding with a portfolio that showcases your prowess.
• Mastery of multiple programming languages and development tools. Experience of building products used by other developers.
• Proven leadership skills with experience managing teams and leading cross-functional projects.
• A reputation for writing code and developing applications that have not only earned the respect of your peers but have also left them in awe.
• The caliber of work could be likened to that of a developer who has contributed to a renowned open-source framework.
• Exceptional problem-solving skills and a proactive approach to overcoming challenges.
Preferred Skills:
• Strong communication and presentation skills with the ability to effectively engage clients and customers.
• Experience with agile and other progressive development methodologies.
• Exceptional problem-solving skills and a proactive approach to overcoming challenges.
Education:
• Advanced degrees (M.Sc./PhD) in Computer Science, Engineering, Math, or a related field are preferred.
• Certifications in analytics or data science (e.g., AWS Certified Data Analytics, Certified Analytics Professional) preferred.
Additional Information
About the Groupe:
Publicis Groupe, known for its world-renowned creativity, best in class technology, digital and consulting expertise, is the world's second largest communications group in the world. With more than 80,000 people 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 and the acquisition of Sapient, Publicis Groupe has undergone a profound transformation by scaling a new model connecting data, creativity and technology. We have continued on that journey with the 2019 acquisition of Epsilon to further scale our data led offering and provide true momentum to our clients' 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. It breaks down the silos between Publicis Communications, Publicis Media, Publicis.Sapient, and Publicis Health making them work seamlessly and efficiently to help clients transform marketing and business at scale.
We are dedicated to ensuring an inclusive environment where employees feel empowered to share their experiences and ideas. We encourage participation in a variety of Business Resource Groups, including groups for Women, People of Color, Veterans, LGTBQ community and allies, and more. For more information regarding our efforts around diversity and inclusion visit us at https://rse2018.publicisgroupe.com/en/nos-talents or ask your recruiter for details.
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: $132,715.00 - $208,840.00 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 11/10/2025.
All your information will be kept confidential according to EEO guidelines.
Veterans Encouraged to Apply.
#LI-MM3
Compensation Range: USD $132,715.00 - USD $208,840.00/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 9/28/2025.