Senior Data Scientist (GTM)
Fin
Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
2,015 open scientist roles across 306 companies are on ApplySarthi right now, most of them in Bengaluru (133), Hyderabad (68), Delhi NCR (33).
- Senior Data Scientist (Economist)Deliveroo
- Senior Research Scientist (m/f/d)Sereact GmbH
- Data ScientistJobgether
- Staff Data Scientist - Core Revenue RetentionGohighlevel
- Senior Data Scientist IRelx
What scientist roles keep asking for: Python (47%), Machine learning (36%), SQL (22%), C++ (18%), Java (17%), Deep learning (14%), R (13%), LLMs (13%) — counted across their open postings here.
Data Scientist jobs in the United Kingdom · Data Scientist jobs in Ireland · Data Scientist jobs in Dublin · Data Scientist jobs in London · Remote Data Scientist jobs · Airflow jobs · CRM jobs · Customer success jobs · Data modelling jobs
Fin has 123 open roles listed here.
- Manager, Account Executives (SMB)
- Manager, Account Executives (SMB)
- Senior Partner Services Manager
- Senior Partner Services Manager
- Partner Services Manager
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Fin.
Questions you are likely to be asked
- Why do you want to join Fin?
- What is your experience with Salesforce? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Data Scientist (GTM) at Fin interview free →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.
The Opportunity
The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.
AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.
The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.
This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.
What You’ll Do
-
Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
-
Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
-
Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
-
Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
-
Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.
What You Bring
-
Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
-
LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
-
Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
-
Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
-
Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
-
Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.
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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-03-26. ApplySarthi collects openings and links to application pages; the role is advertised by Fin, not by us.