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Customer Data Scientist Jobs (NOW HIRING)

Amplitude

Customer Data Scientist

As a Customer Data Scientist , you will combine deep experimentation expertise, applied statistics, and customer-facing technical consulting to help some of the world's most sophisticated product and ...

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

For this role, you must be a mid-level Data Scientist to help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy ...

Mastech Digital

Data Scientist

Irving, TX

$65 - $70/hr

For this role, you must be a mid-level Data Scientist to help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy ...

Virtualitics, Inc

Data Scientist

Washington, DC · On-site +1

Work with customer data and own the development of an AI solution from ideation to production ... Degree in Computer Science. * 3+ years of experience writing production ready code in Python. * 3+ ...

ARC Group

Sr. Data Scientist

Atlanta, GA

The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and ...

Auger

Data Scientist - Supply Chain

Bellevue, WA · On-site

They are seeking a Data Scientist to transform raw customer data into structured insights, working closely with supply chain experts to develop AI and optimization systems for complex supply chain ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Mine our rich, omnichannel, customer data assets across 1500+ stores, a leading e-commerce platform ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Mine our rich, omnichannel, customer data assets across 1500+ stores, a leading e-commerce platform ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Mine our rich, omnichannel, customer data assets across 1500+ stores, a leading e-commerce platform ...

Walmart

Senior, Data Scientist

Hayward, CA

$117K - $234K/yr

We specialize in a range of Customer data initiatives building Machine Learning, Deep Learning ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior, Data Scientist

South San Francisco, CA

$117K - $234K/yr

We specialize in a range of Customer data initiatives building Machine Learning, Deep Learning ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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Customer Data Scientist information

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$46K

$165K

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How much do customer data scientist jobs pay per year?

As of Jun 20, 2026, the average yearly pay for customer 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 are the key skills and qualifications needed to thrive as a Customer Data Scientist, and why are they important?

To thrive as a Customer Data Scientist, you need strong analytical skills, a solid background in statistics or mathematics, and proficiency in data modeling, usually supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms such as Tableau or Power BI, along with experience using machine learning frameworks, is typically required. Strong communication, problem-solving abilities, and business acumen help translate complex data insights into actionable strategies for stakeholders. These skills are essential for driving data-driven decisions that enhance customer experiences and support business growth.

What is customer data science?

Customer data science is a field within data science focused on analyzing customer data to understand behaviors, preferences, and trends. Customer data scientists use statistical methods, machine learning, and data visualization tools to help businesses improve customer experience, retention, and marketing strategies.

Is 40 too late for data science?

Customer Data Scientists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are Customer Data Scientists?

Customer Data Scientists are professionals who analyze customer data to identify patterns, trends, and insights that help businesses improve their products, services, and marketing strategies. They use statistical methods, machine learning, and data visualization tools to understand customer behaviors and preferences. By interpreting complex data sets, Customer Data Scientists enable companies to make data-driven decisions that enhance customer experience and drive business growth.

How does a Customer Data Scientist typically collaborate with marketing and product teams to drive business outcomes?

Customer Data Scientists often work closely with marketing and product teams to analyze customer behavior, segment audiences, and identify opportunities for personalized engagement. They translate complex data insights into actionable recommendations that guide campaign strategies and product improvements. Regular collaboration may include presenting findings, participating in cross-functional meetings, and building data models tailored to specific business objectives. This teamwork ensures that data-driven decisions directly support business growth and enhance the customer experience.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of outcomes come from 20% of the causes. Customer Data Scientists often use this rule to identify the most impactful features or segments, focusing their analysis and resources on the most significant data points for better insights and decision-making.

Is AI replacing data scientists?

Customer Data Scientists use AI and machine learning tools to analyze customer data and improve business strategies. While AI automates certain tasks, data scientists are essential for designing models, interpreting results, and making strategic decisions. AI complements their skills rather than replacing the role entirely.
More about Customer Data Scientist jobs
What cities are hiring for Customer Data Scientist jobs? Cities with the most Customer Data Scientist job openings:
What states have the most Customer Data Scientist jobs? States with the most job openings for Customer Data Scientist jobs include:
What job categories do people searching Customer Data Scientist jobs look for? The top searched job categories for Customer Data Scientist jobs are:
Customer Data Scientist jobs near you
Infographic showing various Customer Data Scientist job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Customer Data Scientist

Customer Data Scientist

Amplitude

Remote

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Amplitude is the leading AI analytics platform, helping over 4,700 customers-including Atlassian, Burger King, NBCUniversal, and Square-build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com.
As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.
Amplitude's Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion-one focused on psychological safety, empathy, and human connection-that will allow employees of all backgrounds to thrive.
About The Role & Team
Amplitude is on a mission to help companies build better products through data. Following our acquisition of Statsig, we now offer one of the most comprehensive experimentation and product analytics platforms on the market. As a Customer Data Scientist, you will combine deep experimentation expertise, applied statistics, and customer-facing technical consulting to help some of the world's most sophisticated product and engineering organizations evaluate, adopt, and scale modern experimentation programs.
This is a highly strategic and technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams. You will serve as the trusted expert on experimentation methodology, statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the Amplitude and Statsig platforms.
As a Customer Data Scientist, you will:
  • Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
  • Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
  • Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
  • Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
  • Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.

You'll be a great addition to the team if you have:
  • You have built, scaled, or supported experimentation programs within a product-led technology company and understand both the technical and organizational challenges involved.
  • You have experience working with experimentation platforms such as Statsig, Eppo, Optimizely, LaunchDarkly, or similar technologies.
  • You are comfortable engaging with highly technical audiences and can effectively communicate complex statistical concepts to data scientists, engineers, executives, and business stakeholders.
  • You enjoy translating technical depth into practical business outcomes and helping organizations make better product decisions through experimentation.
  • You have experience influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback.

At a minimum, you need to have:
  • 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
  • Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
  • Strong proficiency in SQL and python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Experience using Python or R for statistical analysis, experimentation, and data modeling.
  • Experience working directly with customers, stakeholders, or cross-functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.
Our values:
At Amplitude, our values guide how we show up for one another and for our customers:
  • Humility: We operate from a place of empathy and openness, seeking to understand many points of view.
  • Ownership: We take the initiative to solve problems that drive our shared company success.
  • Growth Mindset: We're tenacious in the face of challenges and seek feedback in order to grow ourselves and others.
  • Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success.

We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers.
Some of our benefit programs include:
  • Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
  • 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
  • Flexible time off, paid holidays, and more
  • Generous stipends to spend on what matters most to you, whether that's wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more
  • Excellent Parental benefits including: 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
  • Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions
  • Employee Stock Purchase Program (ESPP)

Other fun facts about Amplitude:
  • Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.
  • We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.
  • We invest in our people. We offer mentorship programs, management training, and wellness initiatives.
  • We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.
  • We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.
  • We're a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
  • Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.

Amplitude provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice.
Staying Safe - Protect Yourself From Recruitment Fraud
We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.

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