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Customer Facing Data Scientist Jobs (NOW HIRING)

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · On-site

$58 - $65/hr

We are seeking a Customer Experience Data Scientist / Analyst V to join our dynamic team. The ideal ... Demonstrated ownership of methodology selection, model training or fine-tuning on customer-facing ...

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

Data Scientist Duration: 6+ months contract Location: NYC- Hybrid About the Team Joining as a Data ... Customer-facing experience, notably in understanding end user needs and building collaborative ...

Hueman PE Talent Solutions

Data Scientist

Utica, NY · On-site

JETNET is seeking a highly skilled Data Scientist to help advance our aviation intelligence ... customer-facing value. A critical part of this role is maintaining a human-in-the-loop approach. We ...

Braze

Forward-Deployed Data Scientist II

Austin, TX · Hybrid

$98K - $164K/yr

Join our Forward-Deployed Data Scientist group of creative technical experts who partner with ... Experience in customer-facing or consulting roles is strongly preferred * Strong technical ...

Braze

Forward-Deployed Data Scientist II

Chicago, IL · Hybrid

$98K - $164K/yr

Join our Forward-Deployed Data Scientist group of creative technical experts who partner with ... Experience in customer-facing or consulting roles is strongly preferred * Strong technical ...

Braze

Forward-Deployed Data Scientist II

New York, NY · Hybrid

$98K - $164K/yr

Join our Forward-Deployed Data Scientist group of creative technical experts who partner with ... Experience in customer-facing or consulting roles is strongly preferred * Strong technical ...

Northbeam

Senior Data Scientist

$170K - $200K/yr

Translate statistical and causal inference methodologies into scalable, reliable customer-facing ... Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to ...

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Developing customer-facing reporting tools to provide timely and accurate decision-support and information * Understanding of how data science enables cost estimating, IPM and cross program analysis ...

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Customer Facing Data Scientist information

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How much do customer facing data scientist jobs pay per year?

As of Jul 3, 2026, the average yearly pay for customer facing 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 a Customer Facing Data Scientist job?

A Customer Facing Data Scientist combines technical data expertise with customer interaction skills to help clients derive value from data-driven solutions. They work closely with customers to understand their business needs, develop models or analyses, and communicate insights effectively. This role often involves pre-sales support, post-sales implementation, and ongoing customer consultation, requiring both strong analytical capabilities and the ability to explain complex data concepts to non-technical audiences.

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 results come from 20% of the efforts or data features. Customer facing data scientists often focus on identifying the most impactful variables or actions to optimize models and decision-making processes efficiently.

Is 40 too late for data science?

The Customer Facing Data Scientist role, like many data science positions, values skills and experience over age. Professionals can successfully transition into data science at 40 or later by developing relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Age is less important than demonstrated ability and continuous learning in this field.

What is data science used for in customer service?

A customer facing data scientist uses data science techniques to analyze customer interactions, identify patterns, and improve service quality. They develop models to personalize experiences, predict customer needs, and optimize support processes using tools like machine learning and data visualization.

What are the key skills and qualifications needed to thrive in the Customer Facing Data Scientist position, and why are they important?

To thrive as a Customer Facing Data Scientist, you need advanced analytical skills, a solid understanding of machine learning, statistical modeling, and a relevant degree—often in Computer Science, Mathematics, or a related field. Experience with programming languages such as Python or R, data visualization tools like Tableau, and knowledge of cloud platforms (e.g., AWS, Azure) or certifications in data science are highly valuable. Excellent communication, active listening, and the ability to translate technical findings into business insights are crucial soft skills. These qualities enable effective collaboration with clients, ensuring data-driven solutions are both technically robust and aligned with real-world business needs.

What does a typical day look like for a Customer Facing Data Scientist?

A typical day for a Customer Facing Data Scientist involves meeting with clients to understand their business objectives, analyzing datasets to extract actionable insights, and preparing clear, impactful presentations or reports for stakeholders. You may collaborate with sales or product teams to translate technical results into business recommendations or proposals. Additionally, there is often a need to provide technical support, answer client questions, and iterate on models based on feedback. The role is highly interactive, blending technical problem-solving with client engagement in a fast-paced, dynamic environment.

What are some customer facing jobs?

Customer facing jobs involve direct interaction with clients or customers, such as sales representatives, customer service agents, account managers, and technical support specialists. These roles often require strong communication skills, problem-solving abilities, and familiarity with customer relationship management tools. They are essential in industries like retail, technology, finance, and healthcare.
More about Customer Facing Data Scientist jobs
What job categories do people searching Customer Facing Data Scientist jobs look for? The top searched job categories for Customer Facing Data Scientist jobs are:
Customer Facing Data Scientist jobs near you
Infographic showing various Customer Facing Data Scientist job openings in the United States as of June 2026, with employment types broken down into 24% Full Time, 29% Part Time, 6% Temporary, 37% Contract, and 4% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Language Data Scientist, Alexa International

Language Data Scientist, Alexa International

Amazon

Bellevue, WA

Full-time

Posted 20 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,923 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Amazon is seeking a Language Data Scientist to join the Alexa International science team as domain expert. This role focuses on expanding analysis and evaluation of conversational interaction data deliverables. The Language Data Scientist is an expert in conversation assessment processes, working closely with a team of skilled machine learning scientists and engineers, and is a key member in developing new conventions for relevant annotation workflows.

The Language Data Scientist will be own unique data analysis and research requests that support the training and evaluation of LLMs and machine learning models, and the overall processing of a data collection.
Key job responsibilities
To be successful in this role, you must have a passion for data, efficiency, and accuracy. Specifically, you will:
- Own data analyses for customer-facing features, including launch go/no-go metrics for new features and accuracy metrics for existing features
- Handle unique data analysis requests from a range of stakeholders, including quantitative and qualitative analyses to elevate customer experience with speech interfaces
- Lead and evaluate changing dialog evaluation conventions, test tooling developments, and pilot processes to support expansion to new data areas
- Continuously evaluate workflow tools and processes and offer solutions to ensure they are efficient, high quality, and scalable
- Provide expert support for a large and growing team of data analysts
- Provide support for ongoing and new data collection efforts as a subject matter expert on conventions and use of the data
- Conduct research studies to understand speech and customer-Alexa interactions
- Collaborate with scientists and product managers, and other stakeholders in defining and validating customer experience metrics .

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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