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Customer Facing Data Scientist Jobs (NOW HIRING)

Dataiku

OR · On-site

Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the ...

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

The role is expected to serve as the primary client-facing data science lead for commercial ... Independently liaise with customers and convincingly present solutions in an unstructured and ever ...

Dataiku

Senior Data Scientist, West

$170K - $190K/yr

Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the ...

Highbeam, Inc

Data Scientist

New York, NY · On-site

$200K - $225K/yr

... that guide customer-facing teams * Partner with CS, GTM, and Capital teams to analyze behavior ... data science, financial analysis, or a related quantitative field * Strong background in statistics ...

RIT Solutions, Inc.

Sr Data Scientist (level 2)

The role involves utilizing extensive experience in data science to build customer-facing products and support production alongside a team of engineers. Qualifications : Required : • 8+ years of ...

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

The role is expected to serve as the primary client-facing data science lead for commercial ... Independently liaise with customers and convincingly present solutions in an unstructured and ever ...

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

The role is expected to serve as the primary client-facing data science lead for commercial ... Independently liaise with customers and convincingly present solutions in an unstructured and ever ...

Tive

Senior Data Scientist

Boston, MA · On-site

Own and ship innovative customer-facing data science and AI features across Tive's core roadmap spanning theft detection, routing intelligence, anomaly detection, and alerting. * Drive initiatives ...

Anomali Inc.

Senior Data Scientist

Redwood City, CA · On-site

... customer facing data products, visualizations, and analytics. You will apply advanced machine ... Has presented at a security, data science, or big data conference. * Prior experience working in ...

Nextpower

Data Scientist

Folsom, CA · On-site +1

Role Summary The Robotics & Services team is seeking an entry-level Data Scientist to support the development, automation, and operationalization of customer-facing reporting, workflows, inspection ...

Nextracker

Data Scientist

Folsom, CA · On-site

Role Summary The Robotics & Services team is seeking an entry-level Data Scientist to support the development, automation, and operationalization of customer-facing reporting, workflows, inspection ...

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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.
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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.
Senior Data Scientist, West

Senior Data Scientist, West

Dataiku

OR • On-site

Other

Posted 16 days ago

Job description

The role of a Senior Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

Key Areas of Responsibility (What You'll Do)

  • Scope and co-develop production-level data science projects with our customers across different industries and use cases
  • Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
  • Provide strategic input to the customer and account teams that help make our customers successful.
  • Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams
  • Lead technical data science projects pre-sales scoping and design appealing proposals
  • Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage)
  • Develop custom Python-based "plugins" in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku's functionality
  •  Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming
  • Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
  • Lead Junior Data Scientist technical interview
  • Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year

Experience (What We're Looking For):

  • Curiosity and a desire to learn new topics and skills
  • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public
  • The ability to clearly explain complex topics to technical as well as non-technical audiences
  • Over 5 years of experience with Python and SQL
  • Over 5 years of experience with building ML models and using ML tools (e.g., sklearn)
  • Experience with LLMs
  • Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit)
  • Understanding of underlying data systems such as Cloud architectures and SQL
  • Bachelor's or Master's program focused on: Statistics, Computer Science, or a related field
  • Location: Must be located within the CST, MST, and PST time zones

Bonus points for any of these:

  • Experience using Dataiku DSS
  • Experience with Consulting and/or Customer-facing Data Science roles
  • Experience in the Manufacture & Defense sector
  • Experience with Data Engineering or MLOps
  • Experience developing WebApps in Javascript
  • Experience building APIs
  • Passion for teaching or public speaking

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