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Customer Facing Data Scientist Jobs (NOW HIRING)

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 ...

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.

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.

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 ...

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 ...

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 ...

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 ...

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.

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 ...

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

Customer-facing data systems: Design, build, and maintain customer-facing data products built on top of the core data architecture, extending the platform's value directly to university partners.

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 ...

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

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 ...

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

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 ...

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

Showing results 41-60

Customer Facing Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Aug 22, 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.
More about Customer Facing Data Scientist jobs

Who are the top companies hiring for Customer Facing Data Scientist jobs?

The top employers for Customer Facing Data Scientist jobs are:

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.

Senior Data Scientist

iSoftStone

Manhattan, NY • Hybrid

$130K - $150K/yr

Full-time

Posted 8 days ago


Job description

iSoftStone, Inc. is seeking a Senior Data Scientist to Join our Team!

*This is a Hybrid Role in the New York City Metro Area*

**Client Site Travel Required – Up to 25%**

***Candidates must have permanent authorization to work in the United States. Visa sponsorship is not available for this role.***

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 — scoping the problem, building the model, and defending the methodology to business stakeholders who are not data people. This is a consulting role: billable, multi-account, and dependent on your ability to translate ambiguous business questions into tractable modeling problems.

Responsibilities:

  • Own end-to-end delivery on retail analytics engagements: discovery, data assessment, feature design, modeling, validation, deployment handoff, and results readout.
  • Build and productionize models across the retail value chain — demand forecasting and inventory optimization, customer segmentation and CLV, price/promo elasticity and markdown optimization, assortment and allocation.
  • Design data models and semantic layers on client data platforms (Snowflake, Databricks, Fabric, BigQuery); work with data engineering to define the tables the models actually need rather than accepting what exists.
  • Interrogate data quality and business logic before modeling — retail data is messy, and identifying the flaw in a returns table or a channel attribution rule is often worth more than a better algorithm.
  • Present findings to director- and VP-level client stakeholders; quantify business impact in margin, sell-through, GMROI, or working capital terms, not model metrics.
  • Support pre-sales: solution shaping, estimation, POC design, and technical credibility in client pitches.
  • Mentor junior analysts and contribute reusable accelerators to the retail practice.

Qualifications:

  • Five+ years applied data science experience, with meaningful time on retail, CPG, or e-commerce problems.
  • Strong data modeling fundamentals — dimensional modeling, star/snowflake schemas, slowly changing dimensions, grain definition. You should be able to look at a retail transaction feed and design the model, not just query it.
  • Advanced SQL and production-grade Python (pandas, scikit-learn, statsmodels); comfort with at least one of PyTorch/TensorFlow, Prophet/ARIMA-family forecasting, or causal inference frameworks.
  • Demonstrated experience with time series forecasting and/or econometric modeling (elasticity, uplift, incrementality).
  • Cloud data platform experience (Snowflake, Databricks, Azure/AWS/GCP) and familiarity with CI/CD and version control practice.
  • Ability to work directly with clients: run a working session, handle pushback on methodology, and write a deck that a merchant will actually read.
  • Bachelor's degree in a quantitative discipline.

Preferred Qualifications:

  • Mathematics, Statistics, or Operations Research major — we specifically value candidates with formal mathematical training and the ability to reason from first principles about optimization, probability, and model assumptions.
  • Advanced degree (MS/PhD) in a quantitative field.
  • Retail domain knowledge: open-to-buy, allocation, replenishment, size/pack optimization, omnichannel inventory, RFM and loyalty analytics.
  • LLM/GenAI application experience in a retail context (demand sensing, agentic workflows, unstructured product or review data).
  • Consulting or professional services background.
  • Experience with retail systems data a plus— SAP, Salesforce Commerce Cloud, O9.

Pay rate:  $130,000 to $150,000/year

iSoftStone is a global IT service and consulting company that creates value and drives success through technology solutions, service excellence, and digital innovation. We specialize in web and application development, software testing and support, data and content management, digital experience, accessibility, and data for machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide, iSoftStone is proud to serve some of the world’s most well-known businesses, including 90+ Fortune Global 500 companies.

Visit us at https://www.isoftstoneinc.com. 

iSoftStone is committed to the practice of equal opportunity for all its employees and applicants in employment, and does not discriminate on the basis of race or ethnicity, color, age, national origin, religion, creed, marital status, sex, pregnancy, gender, gender identity, sexual orientation, status as an honorably discharged veteran or disabled veteran or military status, political affiliation or belief, citizenship/status as a lawfully admitted immigrant authorized to work in the United States, or presence of any physical, sensory, or mental disability. In addition, reasonable accommodation will be made for known physical or mental limitations for all otherwise qualified persons with disabilities.