At a Glance
- Tasks: Collaborate with product teams to drive user growth through data analysis and insights.
- Company: Join a dynamic tech company focused on innovation and user engagement.
- Benefits: Comprehensive health benefits, generous PTO, and professional development stipends.
- Other info: Enjoy a vibrant workplace with fun events, an on-site gym, and a game room.
- Why this job: Make a real impact by influencing product decisions with your data expertise.
- Qualifications: Strong skills in data science, machine learning, and effective communication.
The predicted salary is between 54000 - 66000 £ per year.
This person will embed with one or more product development teams, working collaboratively and cross-functionally to increase the impact of product iteration and experimentation. Embed within one or more product development teams, building strong stakeholder connections and delivering data products and analyses that move team outcomes. Collaborate across functional boundaries with Product Management, Engineering, Design, Marketing, and Finance across every phase of product development. Own the prioritization and ROI assessment of Data Science opportunities within your area. Translate complex findings into clear narratives for leadership and cross-functional partners. Influence strategic decisions through technical depth and effective communication. Contribute to the analytical foundations within Growth, developing definitions, methodological guidelines, and self-serve dashboards that enable others to operate with data fluency. Mentor and learn from other Data Scientists both within the Growth pillar and across the company.
Benefits:
- Medical, dental, and vision for employees as well as eligible partners and dependents
- Mental health benefits such as therapy sessions and coaching to support you to be your best self
- Fertility benefits to support your family planning journey
- Fully paid parental and adoption leave
- Fully paid subscription to Care.com and paid backup days for dependents and your fur family
- 401(k) with generous match and immediate vesting
- 20 days of paid time off, with two additional weeks off for winter break
- First-time home buyer bonus (in Pittsburgh)
- Competitive salaries and equity
- Yearly stipend for professional development
- Transportation reimbursement for however you get to work
- Lunch prepared daily by our in-house chefs
- Annual international retreat for all full-time employees
- Monthly events celebrating our team and their amazing work
- On-site gym and massages
- Game room for taking brain breaks
The ideal candidate combines deep technical fluency in data science and machine learning with exceptional communication skills and an acute product sense. They can identify the right questions to ask, use data analysis to create clarity in decision making, and deliver scalable data products and models as the situation demands. Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences. Strong command of SQL, Python or R, AI tools, and data/analytics engineering ecosystems. Fluency with standard machine learning and predictive modeling techniques. Experience working as a Data Scientist embedded with or supporting a product development team. You have experience creating value from data in messy real-world settings. A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analysis methodology. An impressive Duolingo streak. Experience building, maintaining, and improving production machine learning models and the infrastructure that supports them. Experience operating at a high-growth, data-intensive consumer technology company, particularly in the user growth area.
Senior Data Scientist (User Growth) employer: Duolingo
Duolingo is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. With a strong emphasis on employee growth, you will have access to unique opportunities for professional development while collaborating with diverse teams across the EMEA region. The company's commitment to translating global HR strategies into local practices ensures that your contributions will have a meaningful impact on the organisation and its people.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (User Growth)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Duolingo!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist (User Growth) at Duolingo.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Duolingo.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist (User Growth) at Duolingo, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist (User Growth)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Duolingo, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Duolingo. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Duolingo
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Duolingo!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
