Data Scientist - Sales
London, England
Intercom
Intercom is the complete AI-first customer service solution with ticketing, inbox, phone, help center and the most advanced AI agent on the market that works with any platform.Intercom is on a mission to help our customers provide incredible customer experiences online. We enable businesses to provide instant and exceptional service to their customers while maximizing the productivity, efficiency and performance of their support teams—all through our single seamless platform.
Intercom is leading the market in AI customer service with Fin by Intercom, the most powerful AI customer service agent available, and Helpdesk by Intercom, a fully featured AI enhanced helpdesk for human support.
Today, more than 25,000 businesses use Intercom’s platform to send millions of messages to millions of customers each month. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
Join us to help define and lead the AI revolution for customer service.
What's the opportunity?
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, surfacing actionable insights and building scalable data products, then this role is for you.
Data Scientists partnering with our Sales team combine their interest and expertise in the commercial side of the business with their interest in the product to identify opportunities for growth in the business. This role will partner with Sales & Customer Success to identify opportunities to drive improvements across the funnel and measure the impact of those initiatives on commercial performance.
What will I be doing?
- You’ll partner with Sales teams to help them identify important questions and answer those questions with data.
- Develop, deploy, and maintain predictive models, such as customer health score, churn risk assessments, and expansion opportunity models.
- Provide recommendations to improve sales processes, pipeline efficiency, and forecasting accuracy.
- Design and implement scalable tools and frameworks to operationalize sales intelligence insights.
- You’ll work closely with sales and operations leaders to develop success metrics, set targets, measure results and size opportunities.
- You’ll build tooling that will provide insights to our sales team, helping them understand where they should be spending their time.
- You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
- You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
- You’ll influence our sales and GTM strategy through experimentation, exploratory analysis and quantitative research
- You’ll build and automate actionable models and dashboards
- You’ll craft data stories and share your findings and recommendations across sales and the broader company
- You’ll drive and shape core RAD foundations and help us improve how the RAD org operates
What skills do I need?
- 5 + years experience working with data to solve problems and drive evidence-based decisions
- Excellent SQL skills and good knowledge of statistics
- Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
- Excellent communication skills (technical and non-technical) and a focus on driving impact
- Strong growth mindset and sense of ownership. Innate passion and curiosity
- Experience working with sales teams
Bonus skills & attributes
- Experience with a scientific computing language (such as R or Python)
- Experience with BI/Visualization tools like Tableau, Superset and Looker
- Experience with data modeling and ETL pipelines
Benefits
We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
- Competitive salary and equity in a fast-growing start-up
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
- Regular compensation reviews - we reward great work
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
- Open vacation policy and flexible holidays so you can take time off when you need it
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
- MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
Policies
Intercom 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 two days per week.
We have a radically open and accepting culture at Intercom. 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.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data pipelines ETL Looker Pipelines Python R Research SQL Statistics Superset Tableau
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Gear Health care Home office stipend Insurance Parental leave Salary bonus Snacks / Drinks Startup environment
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