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Customer Facing Data Scientist Jobs (NOW HIRING)

Find Data Science

Data Scientist

San Francisco, CA

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... and customers. Key Responsibilities * Analyze large datasets to uncover trends, patterns, and ...

iSoftStone

Senior Data Scientist

Manhattan, NY · Hybrid

$130K - $150K/yr

This role is a client-facing data scientist supporting enterprise retail accounts across merchandising, supply chain, customer, and pricing analytics. You'll work embedded with client teams ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Prior work on self-serve analytics platforms or customer-facing data products at enterprise scale.

ServiceNow, Inc.

Senior Data Scientist

Mountain View, CA · On-site

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Prior work on self-serve analytics platforms or customer-facing data products at enterprise scale.

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

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

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

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

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Prior work on self-serve analytics platforms or customer-facing data products at enterprise scale.

Moveworks

Senior Data Scientist

Mountain View, CA · On-site

$161.30 - $274.20/hr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Prior work on self-serve analytics platforms or customer-facing data products at enterprise scale.

HR Acuity LLC

Staff Data Scientist

NJ · Remote

$170K - $190K/yr

From that foundation, you'll build the analytical models and customer-facing data products that ... As the data science function grows, provide mentorship and technical guidance to junior ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

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

Brewer Science, Inc.

Data Scientist

Rolla, MO · On-site

Additionally, data scientists will monitor and work toward ensuring the company shows a high statistical IQ in all outward-facing interactions. Responsibilities: Data Scientist I: * Work with diverse ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Prior work on self-serve analytics platforms or customer-facing data products at enterprise scale.

Brewer Science, INC.

Data Scientist

Rolla, MO · On-site

Additionally, data scientists will monitor and work toward ensuring the company shows a high statistical IQ in all outward-facing interactions. Responsibilities: Data Scientist I: * Work with diverse ...

Corning

Data Scientist

Charlotte, NC

... customers, competitors, and business performance. This role is focused on applied, decision ... Partner closely with business-facing teammates to strengthen quantitative rigor in market ...

MediData

Senior Data Scientist

Manhattan, NY · On-site

$114.75 - $153/hr

Develop prototypes that communicate how models can be used within customer facing products ... Lead junior data scientists in implementations of AI tasks and guide technical decisions across ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

The Opportunity We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data ... customer-facing products. You will work on advanced machine learning, NLP, LLMs, Agentic AI, and ...

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Effective verbal and written communication, relationship management and customer service skills ... Proficient using data science toolkits such as Python * Comprehensive SQL skills * Strong ...

HR Acuity LLC

Staff Data Scientist

From that foundation, you'll build the analytical models and customer-facing data products that ... As the data science function grows, provide mentorship and technical guidance to junior ...

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Customer Facing Data Scientist information

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$46K

$165K

$243.5K

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

As of Aug 19, 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?

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 does a customer facing data scientist do?

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 the key skills and qualifications needed to thrive as a customer facing data scientist?

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.

Is a customer facing data scientist job still in demand?

Customer facing data scientist roles remain in demand as companies seek professionals who can interpret data and communicate insights to clients and stakeholders. Skills in machine learning, data visualization, and tools like Python or R enhance employability in this field, which is expected to grow with increasing data-driven decision-making across industries.
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Customer Facing Data Scientist jobs near you
Infographic showing various Customer Facing Data Scientist job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 13 days ago

Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.