Senior Data Scientist - Growth
Fin
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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).
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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 · CRM jobs · Customer success jobs · SQL jobs · SaaS jobs
Fin has 123 open roles listed here.
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- 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.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the Senior Data Scientist - Growth 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.
What's the opportunity?
The Research, Analytics & Data Science (RAD) team at Fin use 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. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Growth Data Scientists in RAD partner with the product teams who own our self-serve signup flow, our trial experience and onboarding, our checkout flow and our Startup Programs. This role will enable you to drive key data projects that directly impact the thousands of companies who sign up for Fin every week.
What will I be doing?
- You’ll identify opportunities to improve our in-product trial experience and ultimately conversion by analysing usage, reviewing customer feedback and studying competitor products
- You’ll design experiments and measure outcomes to understand the impact of changes to our signup flow, trial experience and checkout flow
- You’ll review the performance of our Startup programs to make sure that they are attracting the right prospects and that the incentives are driving feature adoption
- You’ll contribute to projects that improve the tools and infrastructure that data scientists use to do their work.
What experience and skills do I need?
- 5+ years experience working as a data scientist or analyst
- Excellent communication skills and a focus on impact
- Decent experience leveraging AI tools (e.g. Cursor, Claude Code) for data science work
- Strong SQL skills
Bonus skills & attributes
- Experience working on a B2B SaaS product
- Experience partnering with Qualitative Research teams
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.
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Listed on greenhouse · posted 2026-09-04. ApplySarthi collects openings and links to application pages; the role is advertised by Fin, not by us.