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Intern Product Data Scientist Jobs (NOW HIRING)

Intern Product Manager for Product Access As an Intern Product Manager for Product Access, you'll ... science, engineering, business, design, or a related discipline. * Strong communication skills ...

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As a data scientist intern, you will work alongside our small team of data scientists and engineers ... Perform large-scale data analysis, find interesting patterns and translate them into product ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

The Product Management Intern will be embedded in Cosm's Digital Product team to support the ... Currently pursuing a degree in Business, Product Management, UX/UI Design, Computer Science ...

You'll contribute to data science systems across multiple SaaS products with end-to-end influence, emphasizing applied problem solving, data investigation, and system improvement. If you thrive in a ...

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Intern Product Data Scientist information

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$46K

$165K

$243.5K

How much do intern product data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for intern product data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Intern Product Data Scientist vs Intern Data Analyst?

AspectIntern Product Data ScientistIntern Data Analyst
Required SkillsData analysis, machine learning basics, product understandingData analysis, Excel, SQL, reporting
Work EnvironmentProduct teams, cross-functional projectsBusiness units, reporting teams
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, retail sectors

Intern Product Data Scientists focus on applying data science techniques to improve products, working closely with product teams. Intern Data Analysts primarily handle data reporting and visualization for business insights. While both roles require analytical skills, the Product Data Scientist role emphasizes machine learning and product impact, whereas the Data Analyst role centers on data reporting and basic analysis.

More about Intern Product Data Scientist jobs
What cities are hiring for Intern Product Data Scientist jobs? Cities with the most Intern Product Data Scientist job openings:
What are the most commonly searched types of Product Data Scientist jobs? The most popular types of Product Data Scientist jobs are:
What states have the most Intern Product Data Scientist jobs? States with the most job openings for Intern Product Data Scientist jobs include:
Infographic showing various Intern Product Data Scientist job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 26% Full Time, 1% Part Time, 6% Temporary, and 56% Contract. Highlights an 87% Physical, and 13% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Staff Product Data Scientist - Slack

Staff Product Data Scientist - Slack

Salesforce.Com Inc

San Francisco, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

100th of 184 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are looking for a seasoned Data Science Expert to help build a world-class data science analytics platform that supports and scales data-driven product decision-making. As a Staff Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You'll partner with Product, Design, and Engineering (PDE) to contribute directly to product development-shaping what we build, how we measure success, and when/how we iterate and improve.

At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative.

What you will be doing
  • Apply advanced data science techniques to analyze Slack product usage patterns, identifying what's working, what's not, and opportunities for improvement.

  • Conduct evidence-based evaluations to determine key drivers of Slack's product growth.

  • Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups.

  • Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success.

  • Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations.

  • Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels.

What you should have
  • 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.

  • Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus.

  • Expertise in at least one programming language for data science (e.g., Python, R).

  • Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus.

  • Strong communication skills. Able to translate complex technical results into clear, actionable insights.

  • Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels.

  • Experience designing and implementing advanced data models with scalability and efficiency.

  • Experienced in applying advanced quant measurement techniques in a product development environment

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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