Forward Deployed Data Scientist

Posted Yesterday
San Francisco, CA, USA
Hybrid
207K-229K Annually
Entry level
Cloud • Information Technology • Software
Intercom's mission is to make internet business personal - helping businesses connect with their customers.
The Role
Embeds with strategic customers to design, build, and implement AI-driven solutions that scale support operations and drive measurable Fin adoption. Analyzes customer workflows and data, establishes measurement best practices, prototypes production-aware tools, and partners with Sales, Success, Product, and Engineering. The role also feeds deployment insights into product strategy and requires strong communication, adaptability, statistical analysis, SQL, Python, and experience with AI/ML evaluation or LLM applications.
Summary Generated by Built In

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.

Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.

Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.

What’s the opportunity?

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers.

We’re now seeing strong demand for data scientists who can apply their expertise directly with our most strategic customers. As a Forward Deployed Data Scientist, you’ll embed with customers to build Enterprise-grade Fin deployments. You’ll play a pivotal role in transforming how our most strategic customers scale customer support — working closely with them and our go-to-market teams to design, build, and implement data-driven solutions that unlock measurable impact. You’ll also feed insights from these frontline deployments back into Intercom’s product and strategy — helping shape the future of AI customer service.

This is a high-ownership role for someone who thrives in ambiguous environments, is energized by solving complex, real-world problems with data, and is motivated by seeing their work translate into both customer impact and product evolution.

What will I be doing?
  • Drive the adoption of Fin by helping customers automate and scale their support operations.
  • Embed with strategic customers to understand their support workflows, data, and business challenges — to identify and implement opportunities where AI can deliver measurable impact.
  • Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin.
  • Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development.
  • Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact.
What skills do I need?
  • Proven ability to apply data science in real-world business contexts to drive measurable outcomes.
  • Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering.
  • High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing.
  • Excellent communication skills, both technical and non-technical.
  • Rapid prototyping with systems thinking: you know when a customer needs a fast, bespoke answer, and when to build something others will keep using.
  • Excellent SQL and production-aware Python, you write code other people can run, not just code that runs once and are experienced applying analytical and statistical methods to real business problems.
  • Experience with AI/ML evaluation, LLM-driven applications, or conversational AI.
  • Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand.
Bonus skills and attributes
  • Experience in technical consulting, customer-facing analytics, or SaaS product data science.
  • Experience reframing the problem, not just solving it, you've spotted when the question you were handed wasn't the right one, and changed what got worked on.
  • Experience applying AI to scale the data science workflow.

*Proof of eligibility to work in the United States is required.

The base salary range for candidates within the San Francisco Bay Area is $206,600- $229,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

#LI-Hybrid

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. 

Policies 

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.  

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.


Skills Required

  • Proven ability to apply data science in real-world business contexts to drive measurable outcomes
  • Strong cross-functional collaboration skills across Sales, Success, Product, and Engineering
  • Ability to adapt between deep technical analysis and high-level strategic framing
  • Excellent technical and non-technical communication skills
  • Rapid prototyping and systems-thinking experience
  • Excellent SQL skills
  • Production-aware Python programming experience
  • Experience applying analytical and statistical methods to real business problems
  • Experience with AI/ML evaluation, LLM-driven applications, or conversational AI
  • Willingness to travel and work onsite with customers
  • Proof of eligibility to work in the United States
  • Experience in technical consulting, customer-facing analytics, or SaaS product data science
  • Experience reframing business problems and influencing the work selected
  • Experience applying AI to scale data science workflows

Intercom Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intercom and has not been reviewed or approved by Intercom.

  • Healthcare Strength Healthcare is described as comprehensive across regions, with employer‑verified medical, dental, and vision coverage and related protections. Job postings and benefits pages consistently highlight strong core health benefits.
  • Parental & Family Support Parental leave is repeatedly characterized as generous for both birthing and non‑birthing parents, with employer verification on public benefits listings. Family support is emphasized across U.S. and EMEA postings.
  • Equity Value & Accessibility Role postings regularly include equity/RSUs alongside salary, indicating broad access to ownership. Total compensation descriptions consistently feature equity as a meaningful part of the package.

Intercom Insights

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The Company
HQ: San Francisco, CA
900 Employees
Year Founded: 2011

What We Do

Intercom is the next generation customer service platform, built for an AI-first world. Intercom is the only platform that combines an AI Bot + AI Help Desk + Proactive Support tools into one seamless platform. Founded in 2011 and backed by leading venture capitalists, including Kleiner Perkins, Bessemer Venture Partners and Social Capital, Intercom is on a mission to make internet business personal. Our products are great to sell, because they're loved by our customers. We received a “Top Rated” for Live Chat on Trustradius, and we’re a Top 50 product for Small Businesses on G2 - we think these awards speak for themselves.

Why Work With Us

We're a more established company that still feels like a start-up environment. We operate and innovate quickly. Employees have the opportunity to take big bets, make signficiant impact, and advance in their careers.

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