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Customer Facing Data Scientist Jobs (NOW HIRING)

Northbeam

Senior Data Scientist

$170K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Built Technologies

Staff Software Engineer, Data Platform

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This includes customer-facing experiences such as data product hubs, market insights, benchmarking ... Turn data science prototypes, analytics concepts, and platform capabilities into production-grade ...

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 ...

Publicis Groupe Holdings B.V

Data Scientist II

Atlanta, GA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview In this client-facing Data Scientist 2 role at CJ, you will support and lead advanced analysis projects for individual clients and internal collaborators within the Data Science organization.

Publicis Groupe Holdings B.V

Data Scientist II

Chicago, IL · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview In this client-facing Data Scientist 2 role at CJ, you will support and lead advanced analysis projects for individual clients and internal collaborators within the Data Science organization.

Safety Radar

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

Build customer-facing, live risk dashboards that visualize jobsite risk metrics and safety insights. EDUCATION/EXPERIENCE: Position requires a Master's degree (or foreign equivalent) in Data Science ...

Sonatype

Data Scientist

OR · On-site +1

Learn more at www.sonatype.com The Role We're looking for a Data Scientist to join our growing AI ... customer-facing workflows. * Deep familiarity with modern LLM ecosystems, including OpenAI ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables * Awareness of emerging data science, AI/ML, and big-data technologies relevant ...

Sonatype

Data Scientist

Atlanta, GA · On-site +1

Learn more at www.sonatype.com The Role We're looking for a Data Scientist to join our growing AI ... customer-facing workflows. * Deep familiarity with modern LLM ecosystems, including OpenAI ...

Leidos

Data Scientist

Omaha, NE

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward ... Contribute to customer-facing analytic products with precision and clarity * Manage the hardware ...

Leidos

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward ... Contribute to customer-facing analytic products with precision and clarity * Manage the hardware ...

Sonatype

Data Scientist

Learn more at www.sonatype.com The Role We're looking for a Data Scientist to join our growing AI ... customer-facing workflows. * Deep familiarity with modern LLM ecosystems, including OpenAI ...

iSoftStone

Senior Data Scientist

New York, 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 - scoping ...

iSoftStone

Senior Data Scientist

Manhattan, NY · Hybrid

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 ...

Sonatype Inc

Data Scientist

Atlanta, GA · On-site

$120 - $180/hr

Learn more at www.sonatype.com The Role We're looking for a Data Scientist to join our growing AI ... customer-facing workflows. * Deep familiarity with modern LLM ecosystems, including OpenAI ...

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$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.

Sr Manager Data Science and AI Platform Enablement

Academy Sports + Outdoors

Katy, TX • On-site

Other

Posted 21 days ago

Academy Sports + Outdoors rating

5.8

Company rating: 5.8 out of 10

Based on 439 frontline employees who took The Breakroom Quiz

428th of 734 rated retailers

Job description

Who We Are
At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country - but what truly sets us apart is our people. We're a passionate, purpose-driven team that's as committed to each other as we are to our customers.
We've spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member's journey. What fuels us? Our belief in the power of fun.
Here, you won't just help customers gear up for their next adventure - you'll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can't lose!
Education:
  • Bachelor's in engineering, Statistics, Data Science, or Computer Sciences
  • Master's degree in Analytics or data science (preferred)

Work Experiences:
  • 8+ years of experience in data science, advanced analytics, applied machine learning, or related fields. Experience in retail or B2C is preferred
  • 4+ years of experience leading teams or major technical initiatives, including people management or matrixed leadership
  • 3+ years of experience in B2C, retail, e-commerce, marketing analytics, or customer-facing analytics domains
  • 3+ years of experience building, deploying, or enabling production-grade analytics or ML solutions

Skills:
  • Strong engineering mindset with experience in: Modular code, Reproducibility & Production-grade analytics or ML systems
  • Experience working with digital analytics, customer data platforms, or experimentation data (e.g., Adobe, web/app analytics, or similar ecosystems)
  • Proven ability to influence across matrixed organizations without direct ownership
  • Experience partnering with data engineering, platform, and governance teams
  • Ability to balance speed to value with long-term scalability
  • Experience enabling MLOps or analytics platforms, preferred
  • Exposure to customer analytics, personalization, marketing, or e-commerce use cases, preferred
  • Experience operating in early-to-mid maturity data organizations, preferred
  • Comfort shaping standards without formal authority, preferred

Responsibilities:
Platform & AI Standards Enablement
  • Define and evolve reusable data, feature, and modeling patterns, MLOps and model lifecycle standards, and production-ready analytics/ML solutions.
  • Partner with CIO Data Engineering and Platform teams to influence canonical customer data models, shared datasets, feature reuse, and data access/consumption standards.

Customer Domain Translation & Enablement
  • Translate customer, marketing, and omnichannel needs into scalable technical and platform-aligned patterns.
  • Enable domain-aligned data scientists, analysts, and engineers to adopt standards, reduce reinvention, and accelerate delivery.
  • Influence enterprise priorities through evidence, design proposals, and proof-of-value work.

Governance, Quality & Responsible AI
  • Represent customer-domain data needs in governance forums.
  • Help evolve governance standards that are practical for personalization, experimentation, and customer analytics.
  • Ensure quality, fairness, trust, and compliance are embedded by design.

Customer Data Domain Enablement
  • Lead Adobe Analytics and Quantum Metrics data capture, acting as a catalyst for effective use across analytics, personalization, and experimentation.
  • Serve as the data domain owner for all customer-facing data domains, including tag management, Bridg, and clean room capabilities, accountable for data definitions, quality, access, and downstream usability.
  • Partner with IT pods, platform, and engineering teams to define and govern customer data flows securely and at scale through well-documented integrations.

Leadership Attributes
  • Systems thinker with a pragmatic bias toward delivery.
  • Trusted by both business and technical stakeholders.
  • Comfortable letting teams execute independently while influencing across a matrixed organization.
  • Optimizes for scale and reuse, not personal ownership.

Physical Requirements & Attendance:
  • Acceptable level of hearing and vision to perform job duties
  • Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
  • Regular attendance in the office is required
Equal Employment Opportunity
Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.

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