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Adobe Data Scientist Jobs (NOW HIRING)

Allegis Group

Lead Data Scientist

Hanover, MD · On-site

We are seeking a Lead Data Scientist to join the Connected Growth & Insights team - a metrics ... Analyzes and recommends analytics tooling (e.g., Adobe Analytics vs. Quantum Metric) to reduce ...

Allegis Group

Lead Data Scientist

Hanover, MD

We are seeking a Lead Data Scientist to join the Connected Growth & Insights team - a metrics ... Analyzes and recommends analytics tooling (e.g., Adobe Analytics vs. Quantum Metric) to reduce ...

Allegis Group

Lead Data Scientist

Hanover, MD

We are seeking a Lead Data Scientist to join the Connected Growth & Insights team -- a metrics ... Analyzes and recommends analytics tooling (e.g., Adobe Analytics vs. Quantum Metric) to reduce ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics ...

Trax USA Corp

Data Scientist - Airvoyant

Miami, FL · On-site

We are looking for an experienced Data Scientist to lead the development of advanced analytics ... Familiarity with digital analytics tools (e.g., Google Analytics, Adobe Analytics) * Understanding ...

Bloomingdale's

Data Scientist Lead

Long Island City, NY · On-site

$155K - $259K/yr

Job Overview The Lead, Data Scientist will design, develop, and implement advanced data science ... Experience with web reporting tools like Adobe Analytics or Google Analytics. * Ability to conduct ...

Adobe

Data Science Engineer

San Jose, CA

$134K - $161K/yr

Our company Changing the world through digital experiences is what Adobe's all about. We give ... This role will drive data engineering for large-scale data science initiatives across a wide ...

Socket.dev

Data Scientist Lead

Manhattan, NY · On-site

$180 - $250/hr

Job Overview The Lead, Data Scientist will design, develop, and implement advanced data science ... Experience with web reporting tools like Adobe Analytics or Google Analytics. * Ability to conduct ...

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Adobe Data Scientist information

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How much do adobe data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for adobe data scientist 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 does an Adobe Data Scientist do?

An Adobe Data Scientist leverages large volumes of data to develop insights, build predictive models, and support data-driven decision-making across Adobe’s products and services. They use statistical analysis, machine learning, and data visualization techniques to solve business challenges such as customer behavior prediction, product optimization, and personalization. Their work often involves collaborating with engineers, product managers, and other stakeholders to turn data into actionable strategies that improve Adobe's offerings and customer experiences.

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

To thrive as an Adobe Data Scientist, you need strong analytical abilities, expertise in statistics and machine learning, and a solid background in computer science or a related field, often supported by a relevant degree. Proficiency with programming languages such as Python or R, experience using big data platforms, and familiarity with Adobe Experience Cloud tools are highly valued. Excellent problem-solving skills, communication abilities, and a collaborative mindset are crucial soft skills for this position. These competencies enable data-driven insights, effective teamwork, and impactful decision-making that drive business value.

How much do Adobe Data Scientists make?

Adobe Data Scientists typically earn an average salary ranging from $100,000 to $150,000 annually, depending on experience, location, and skill level. Compensation may also include bonuses and stock options, especially for those with expertise in machine learning and data analysis tools.

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

AspectAdobe Data ScientistAdobe Data Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Computer Science, or related fieldsOften requires a bachelor's degree in a related field, with some roles preferring certifications in data analysis
Work EnvironmentFocuses on advanced modeling, machine learning, and predictive analytics within Adobe's tech teamsCenters on data interpretation, reporting, and supporting business decisions across departments
Employer & Industry UsageUsed in Adobe's R&D, product development, and strategic initiativesCommonly employed in marketing, sales, and operational teams within Adobe

Adobe Data Scientists and Data Analysts both work with data but differ in their focus and expertise. Data Scientists handle complex modeling and machine learning, requiring advanced degrees, while Data Analysts focus on data interpretation and reporting to support business decisions. Both roles are vital in Adobe's data-driven environment, but they serve different functions based on skill level and responsibilities.

How does an Adobe Data Scientist typically collaborate with product and engineering teams to drive data-driven decisions?

As an Adobe Data Scientist, you’ll work closely with product managers and engineers to translate business problems into analytical solutions. This often involves designing and executing experiments, building predictive models, and presenting insights through clear visualizations. Collaboration is key; you’ll regularly participate in cross-functional meetings, share findings, and provide recommendations that directly impact product strategy and user experience. Effective communication and teamwork are essential, as your analyses guide both immediate decisions and long-term product roadmaps.
More about Adobe Data Scientist jobs
What cities are hiring for Adobe Data Scientist jobs? Cities with the most Adobe Data Scientist job openings:
What job categories do people searching Adobe Data Scientist jobs look for? The top searched job categories for Adobe Data Scientist jobs are:
Adobe Data Scientist jobs near you
Infographic showing various Adobe Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Nonproliferation Data Scientist

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Re-posted 21 days ago

Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 120 rated laboratories

Job description

Requisition Id 16639
Overview:
We are seeking a Nonproliferation Data Scientist to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate. In this role, you will develop and apply advanced data science, machine learning, and statistical approaches to challenging problems in nuclear nonproliferation and national security.
The successful candidate will work closely with multidisciplinary teams of data scientists, software engineers, physicists, and domain experts to develop innovative analytic capabilities that support nuclear material detection, characterization, safeguards, and nuclear fuel cycle analysis. This position provides the opportunity to conduct impactful research while contributing to the development of next-generation scientific software and data-driven methods for national security applications.
Major Duties and Responsibilities
  • Conduct research and development applying machine learning, statistical modeling, optimization, and data science methods to nuclear nonproliferation challenges.
  • Develop, evaluate, and apply data-driven algorithms, selecting appropriate analytical approaches based on problem characteristics, available data, and mission objectives.
  • Develop and maintain scientific software and analytic tools that enable advanced data analysis, modeling, and decision support.
  • Collaborate with multidisciplinary teams of domain scientists, software developers, and researchers to integrate advanced analytics into mission applications.
  • Design and execute computational studies to assess algorithm performance, quantify uncertainty, and generate actionable insights from complex datasets.
  • Communicate research findings through technical reports, publications, presentations, and interactions with sponsors and collaborators.
  • Contribute to proposal development, program growth activities, and new research initiatives.
  • Ensure all work is performed safely, securely, and in accordance with ORNL policies and procedures.

All team members deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. We foster a respectful, team-focused environment where all individuals can contribute and succeed.
Basic Qualifications
  • PhD in data science, computer science, statistics, mathematics, physics, engineering, or a related quantitative field; or an MS in one of these disciplines with a minimum of two years of relevant experience.
  • Demonstrated experience applying machine learning, statistical analysis, optimization, or related data science techniques to solve complex technical problems.
  • Experience developing software for scientific computing, data analysis, or machine learning applications.
  • Proficiency in Python and common scientific computing and machine learning libraries.
  • Strong written and verbal communication skills, including experience presenting technical results to scientific or technical audiences.

Preferred Qualifications
  • Experience with machine learning, artificial intelligence, statistical modeling, uncertainty quantification, optimization, or scientific machine learning methods.
  • Demonstrated ability to evaluate alternative analytical approaches and determine when different algorithms or modeling techniques are most appropriate for a given problem.
  • Experience with research software development practices, including version control, testing, reproducibility, and collaborative software engineering.
  • Experience with open-source scientific software projects.
  • Familiarity with high-performance computing, cloud computing, or large-scale data analytics environments.
  • Knowledge of nuclear nonproliferation, safeguards, nuclear fuel cycle analysis, remote sensing, or related national security mission areas.
  • Record of peer-reviewed publications, conference presentations, or other research accomplishments.
  • Experience working in multidisciplinary research environments involving both domain scientists and software developers.
  • Familiarity with modern AI/ML frameworks such as PyTorch, TensorFlow, JAX, or related tools.

Special Requirements:
  • This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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