At a Glance
- Tasks: Build and lead a habit lab, mapping reward loops and testing ideas with real users.
- Company: TechTree, an innovative company focused on user engagement and retention.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and shape the future of user retention.
- Why this job: Make a real impact by understanding user habits and driving daily engagement.
- Qualifications: Experience in research, user testing, and leading teams.
The predicted salary is between 63000 - 77000 £ per year.
Tech Tree is hiring for a senior researcher to build Nanogram's habit lab from scratch in London or remote from the US East Coast or anywhere in the EU.
You will map reward and habit loops to our product, test ideas with real users, and identify what makes people return daily.
You will run studies, playtests, interviews, and live experiments, and hand successful loops to the product team.
The role includes leading a small research team as the lab proves itself.
Habit Lab Scientist - Drive Daily Retention (Remote) employer: Gtm Week
Gtm Week is an attractive employer due to its commitment to innovation in mobile gaming and social interaction. Employees have the chance to work on cutting-edge projects that combine behavioural science with technology, fostering a culture of creativity and collaboration. The company also supports flexible working arrangements, making it an appealing choice for professionals seeking a balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Habit Lab Scientist - Drive Daily Retention (Remote)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Habit Lab Scientist - Drive Daily Retention (Remote)
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 Gtm Week, 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 Gtm Week. 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 Gtm Week
✨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 Gtm Week!
✨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.
