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Data Science Developer Jobs (NOW HIRING)

We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ... Analyze data to identify or resolve operational problems to create processes to reverse engineer ...

Minimum 3 years working in a Data Science role * Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business * Master's Degree in relevant discipline ...

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

... and DevOps practices • Problem-solving mindset • Strong communication skills • Team ... Data Science, or related field Preferred : • 2+ years of experience in data engineering or ...

Data science engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a talented Data Science Engineer to join their team. The role involves developing and implementing advanced data solutions, optimizing data pipelines, and collaborating ...

Data Science Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a talented Data Science Engineer to join their team. The role involves developing and implementing advanced data solutions and optimizing data pipelines, machine ...

Data Science Engineer

Boston, MA · On-site

$124K - $149K/yr

ShiftCode Analytics, Inc. is seeking a talented Data Science Engineer to join their team and contribute to the development and implementation of advanced data solutions. The role involves designing ...

... Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment. * Strong proficiency in programming languages ...

Conduct data exploration, feature engineering, model training, validation, testing, and performance ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

Data Science Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

Showing results 21-40

Data Science Developer information

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$56

$81

How much do data science developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data science developer in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a data science developer?

A Data Science Developer is a professional who combines expertise in programming, statistics, and data analysis to build models and algorithms that extract insights from large datasets. They often work with machine learning techniques, data visualization, and various data processing tools to solve business problems. Data Science Developers collaborate with other teams to design and implement data-driven solutions, and are skilled in languages like Python, R, or Scala. Their work is essential for organizations looking to leverage data for decision-making and innovation.

What are some common challenges data science developers face when integrating models into production environments?

Data Science Developers often encounter challenges in bridging the gap between developing models in experimental settings and deploying them into scalable, reliable production systems. Issues such as data inconsistencies, version control, and ensuring model reproducibility can arise. Additionally, collaborating effectively with DevOps and engineering teams to automate deployment pipelines and monitor model performance is crucial for long-term success. Understanding both machine learning and software engineering best practices helps overcome these hurdles and ensures smooth, efficient integration.

What are the key skills and qualifications needed to thrive as a data science developer, and why are they important?

To thrive as a Data Science Developer, you need strong expertise in statistics, machine learning, programming (Python, R), and a background in computer science or a related quantitative field. Familiarity with data analysis tools (such as Pandas, NumPy, and scikit-learn), cloud platforms (like AWS or Azure), and experience with databases (SQL/NoSQL) are typically required, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams help you stand out. These skills are essential for building data-driven solutions that translate complex data into actionable business insights.

What is the difference between Data Science Developer vs Data Analyst?

AspectData Science DeveloperData Analyst
Required SkillsProgramming, machine learning, data modelingData visualization, statistical analysis, reporting
CertificationsData Science certifications, Python/R expertiseExcel, SQL, Tableau certifications
Work EnvironmentTech companies, startups, R&D teamsBusiness departments, marketing, finance
Job FocusDeveloping algorithms, predictive modelsInterpreting data, generating reports

While both roles analyze data, Data Science Developers focus on building models and algorithms to solve complex problems, often requiring programming and machine learning skills. Data Analysts primarily interpret existing data sets to generate insights and reports for business decisions. The roles overlap in data handling but differ in technical depth and objectives.

More about Data Science Developer jobs

What states have the most Data Science Developer jobs?

States with the most job openings for Data Science Developer jobs include:

What are popular job titles related to Data Science Developer jobs?

For Data Science Developer jobs, the most frequently searched job titles are:

Infographic showing various Data Science Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Data Science Engineer

San Jose, CA • On-site

Adobe, Inc.
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

38th of 247 rated software companies


Job description

The Challenge
In Adobe finance, we strive to introduce the finance of the future! We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ground-breaking, predictive techniques for forecasting customer retention metrics, units, and ARR. This role is fitting for an individual who enjoys working with, cleaning and manipulating large datasets, and can derive insights using statistical and machine learning models. This position maintains lots of exposure to cross functional organizations and access to senior management.
What you'll do
A Finance Data Scientist within Adobe's Creativity & Productivity FP&A (Financial Planning and Analysis) team partners with finance and business stakeholders to understand, and then develop and enhance the existing or proposed forecasting process, optimizing and refining by leveraging automation and AI/ML techniques.
This role has the opportunity to present and showcase findings and improvements to senior leadership, which is unique for this type of role in finance organizations.
In our team, we're committed to delivering actionable insights in a manner that is accurate and efficient. This role represents an end-to-end data scientist involved in every facet of every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:
  • Drive data science modeling initiatives for forecasting and analysis

  • Automate, enhance, and maintain analytic applications and data structures used for modeling and forecasting

  • Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously "Create the Future" and further enhance forecast algorithms

  • Work with the PowerBI team to deliver requirements to create and maintain dashboards tracking key indicators

  • Partner with Finance and other teams to build data science models to solve a wide breadth of business challenges

  • Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities

  • Analyze data to identify or resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes.

  • Prepare analytical reports to document financial models and data processes.

  • Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes

  • Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts

  • Be a change agent, ensuring users adopt new and innovative technologies

What you need to succeed
  • Strong proficiency in SQL and Python; R is a plus.

  • Experience in data cloud platform (eg. Databricks, AWS, Snowflake)

  • Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis

  • Proficiency with data visualization tools (e.g. Power BI, Tableau)

  • Experience exploring large amounts of information, extracting insights, and achieving real-world results

  • Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills are musts

  • History of deriving and communicating actionable insights from analysis projects to product and/or business leaders

  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering preferred, or related work experience

  • Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus

  • Understanding of Version Control frameworks such as GitHub is a plus

  • Knowledge of customer cancellation forecasting and cohort retention is a plus

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $163,200 - $236,400In Washington, the pay range for this position is $157,900 - $228,575
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982