ZipRecruiter

Log In

1

Data Science Evangelist Jobs (NOW HIRING)

Apple Inc.

Evangelize data science best practices and help embed a data-informed culture across teams * Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high ...

Leidos

Data Scientist Thought Leader

Gaithersburg, MD · On-site

Evangelize the potential of data science and AI to transform intelligence operations and national security. Basic Qualifications: * US citizenship is required per contract. * Master's degree in Data ...

Pae

Data Scientist - Senior

Washington, DC · On-site

$140K - $180K/yr

Mentor the team and evangelize best practices in reproducible, rigorous data science Minimum Requirements (Knowledge, Skills, and Abilities): * Active TS/SCI clearance * 12+ years of relevant data ...

DocuSign, Inc.

Senior Data Scientist

Seattle, WA · On-site

What you'll do Docusign's Product Data Science team is looking for a Senior Data Scientist to ... Evangelize models, frameworks, analysis, and insights with stakeholders and business partners * Act ...

Amazon

Sr. Data Scientist, Prime Video

Seattle, WA · On-site

We are looking for a customer-focused, solutions-oriented Data Scientist to help build new data ... science tools, techniques, and best practices and help evangelize them across the organization

Amazon

Sr. Data Scientist, Prime Video

Seattle, WA · On-site

We are looking for a customer-focused, solutions-oriented Data Scientist to help build new data ... science tools, techniques, and best practices and help evangelize them across the organization

Walmart

Senior Director, Data Science

Bentonville, AR · On-site

$208K - $416K/yr

Evangelism&Adoption: ServeastheprimarychampionforfoundationalmodelswithinWalmartGlobalTech. What ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

previous pagenext page

Showing results 21-40

All JobsData Science Evangelist Jobs

Data Science Evangelist information

See salary details

$5

$49

How much do data science evangelist jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data science evangelist in the United States is $48.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $48.80 per hour, depending on experience, location, and employer.

What is a data science evangelist?

A Data Science Evangelist is a professional who promotes the adoption and understanding of data science within organizations or the broader community. They bridge the gap between technical data science teams and non-technical stakeholders by communicating complex concepts in accessible ways. Their role often includes educating others, advocating for data-driven decision-making, and representing their organization at conferences, workshops, or online forums. By sharing best practices and success stories, they help foster a data-centric culture and drive innovation.

How does a data science evangelist typically collaborate with technical and non-technical teams within an organization?

A Data Science Evangelist acts as a bridge between technical data science teams and non-technical stakeholders, such as business leaders, marketing, or sales. They translate complex data science concepts into accessible language and demonstrate the value of data-driven solutions to various departments. Regular collaboration may involve conducting workshops, presenting case studies, and gathering feedback to align data initiatives with business needs. This role often requires excellent communication skills and the ability to foster cross-functional partnerships to drive organizational adoption of data science practices.

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

To thrive as a Data Science Evangelist, you need expertise in data science concepts, analytics, and machine learning, often supported by a degree in computer science or a related field. Familiarity with programming languages like Python or R, data visualization tools such as Tableau or Power BI, and experience with cloud platforms are typically required. Exceptional communication, public speaking, and community-building skills help in translating complex ideas and engaging both technical and non-technical audiences. These abilities are crucial for effectively advocating data-driven solutions and fostering adoption across organizations and communities.

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

AspectData Science EvangelistData Analyst
Required CredentialsTypically a degree in data science, computer science, or related fields; certifications like Certified Data ProfessionalUsually a degree in statistics, mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentEngages in advocacy, training, and community outreach; often works with marketing and product teamsFocuses on data collection, cleaning, analysis, and reporting; works closely with business units
Employer & Industry UsageUsed by tech companies, startups, and organizations promoting data-driven cultureCommon across finance, healthcare, retail, and other industries requiring data insights

In summary, a Data Science Evangelist primarily promotes data science practices and educates stakeholders, while a Data Analyst focuses on analyzing data to generate actionable insights. Both roles require strong analytical skills but differ in their core responsibilities and engagement with audiences.

Who are the top companies hiring for Data Science Evangelist jobs?

The top employers for Data Science Evangelist jobs are:

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

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

Infographic showing various Data Science Evangelist 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 $101,000 per year, or $48.6 per hour.

Senior Data Science Manager - Strategic Data Solutions

On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Apple Inc.external

Other

Posted 14 days ago

Key responsibilities

  • Build and lead a team of data professionals in analytics, experimentation, and data engineering.

  • Guide the team in delivering data analytics, storytelling, architecture guidance, and performance optimization.

  • Oversee data transformation, integration, and ensure data integrity, accessibility, and consistency across systems.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Senior Data Science Manager – Strategic Data Solutions

Austin, Texas, United States Software and Services

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.Apple’s Strategic Data Solutions team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.

Description
  • Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
  • Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
  • Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
  • Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
  • Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domainsPartner with cross-functional leaders to align analytics initiatives with strategic objectives
  • Evangelize data science best practices and help embed a data-informed culture across teams
  • Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
  • 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
  • 2+ years of experience leading and mentoring data-focused teams
  • Proficiency in SQL and at least one programming language (e.g., Python, R)
  • Strong background in experimentation design, causal inference, and statistical analysis
  • Experience working with large-scale data pipelines and production-level analytics systems
  • Proven ability to drive measurable business impact through data and automation
Preferred Qualifications
  • Experience with building robust monitoring systems to track data and model health in production
  • Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
  • Ability to connect insights to business outcomes and influence strategy
  • Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
  • Passion for fostering inclusive team environments and valuing diverse perspectives
  • Clear communicator who can translate complex technical concepts into actionable business language

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

#J-18808-Ljbffr

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

View All Apple Jobs

Apply