At a Glance
- Tasks: Use data to drive decisions and improve customer experiences with innovative AI solutions.
- Company: Join Intercom, a leading AI Customer Service company transforming customer interactions.
- Benefits: Enjoy competitive salary, equity, flexible holidays, and comprehensive health insurance.
- Why this job: Make a real impact by shaping product strategies and driving growth through data insights.
- Qualifications: 5+ years of data experience, strong SQL skills, and a passion for problem-solving.
- Other info: Hybrid work environment with a supportive and inclusive culture.
The predicted salary is between 36000 - 60000 £ per year.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
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 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. Data Scientists embedded with GTM bring a blend of commercial expertise and product insight to identify and prioritize growth opportunities. Partnering closely with Sales and Solutions, they translate business problems into clear analytical workstreams, support execution of improvements, and quantify impact on key commercial metrics.
What will I be doing? You’ll partner with GTM teams to help them identify important questions and answer those questions with data. You’ll work closely with sales and solutions leaders to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities. 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 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 R&D 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 with a scientific computing language (such as R or Python).
- Experience with BI/Visualization tools like Tableau, Superset and Looker.
- Experience working with LLMs.
- Experience with data modeling and ETL pipelines.
- Experience working with product teams.
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.
- 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.
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 three 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.
Staff Data Scientist employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Intercom on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a role in the RAD team.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in past roles. We want to see your passion for data and how you can translate complex insights into actionable strategies.
✨Tip Number 3
Show off your projects! If you've built any dashboards or models, make sure to bring them up during your conversations. Demonstrating your hands-on experience with BI tools and data pipelines will set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Intercom family!
We think you need these skills to ace Staff Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Staff Data Scientist role. Highlight your experience with data, SQL skills, and any relevant projects that showcase your ability to drive evidence-based decisions.
Showcase Your Communication Skills: Since you'll be working closely with various teams, it's crucial to demonstrate your excellent communication skills. Use clear and concise language in your application to show you can convey complex ideas effectively to both technical and non-technical audiences.
Highlight Your Growth Mindset: We love candidates who have a strong growth mindset! Share examples of how you've taken ownership of projects, learned from challenges, and continuously sought to improve your skills and knowledge in data science.
Apply Through Our Website: Don't forget to submit your application through our website! This ensures it gets to the right people quickly and helps us keep track of all applications efficiently. We can't wait to see what you bring to the table!
How to prepare for a job interview at Intercom
✨Know Your Data Inside Out
As a Staff Data Scientist, you'll be expected to have a solid grasp of data analysis and insights. Brush up on your SQL skills and be ready to discuss how you've used data to drive evidence-based decisions in the past. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Communicate Like a Pro
Excellent communication skills are key for this role. Practice explaining technical concepts in simple terms, as you'll need to share your findings with both technical and non-technical stakeholders. Think about how you can present your data stories clearly and compellingly during the interview.
✨Show Your Curiosity and Growth Mindset
Intercom values a strong growth mindset and innate curiosity. Be prepared to discuss how you've approached learning new tools or methodologies in your previous roles. Share examples of how your curiosity has led to innovative solutions or improvements in your work.
✨Familiarise Yourself with Intercom's Mission
Understanding Intercom's mission to enhance customer experiences through AI is crucial. Research their products, especially the AI agent Fin, and think about how your skills can contribute to their goals. This will not only show your interest but also help you align your answers with their core values during the interview.