Data Scientist, Growth
Λευκωσία, Nicosia, Cyprus
Wheely
Exquisite chauffeured experiences, available in advance and on demand, for you or for others. Reserve a perfect commute or airport transfer in just seconds.At Wheely, we're a luxury brand on the outside, but a technology company on the inside, building the world's first Luxury-as-a-Service. We believe that time is the ultimate luxury and that modern engineering and design, combined with the industry’s highest standards of service, can unlock an unparalleled experience for our customers. From on-demand chauffeuring, concierge service, to our best-in-class app, we exist to help our clients reclaim their time by connecting them to the places and people that matter.
More than 40% of our team works in product & engineering, and both Wheely founders are technical. We are also unapologetically design centric. It’s not about A/B testing one hundred shades of blue, but crafting the perfect shade. We also take a privacy-first approach and believe that where people travel, and who they travel with, is at their discretion.
We have refused government requests to hand over journey data, and are currently developing bespoke technology to put our clients’ movements beyond even our own reach.
Backed by leading global investors, Wheely is poised for the next phase of our journey. Over the next 5-10 years, we plan to offer a full portfolio of luxury services and expand into more international cities, building on our success in London, Paris, and Dubai.
As a Data Scientist in the Growth team, you will create models for traffic attribution and conduct experiments to improve crucial growth metrics, such as installs, sign-ups, and initial trips. You will also generate hypotheses and assist product teams in analysing opportunities, including growth and other use cases like flight tracking and concierge.
What you will be doing
- Designing and analysing experiments influencing the onboarding funnel and driving referral activations
- Creating models for traffic attribution and influencing decision-making on marketing investments
- Measuring the quality of our experiences and exploring growth opportunities across different markets and user segments
Requirements
- Bachelor degree in Mathematics, Economics, Computer Science, or Statistics
- A minimum of one year experience in analyzing large data sets
- Proficiency in SQL, along with a solid understanding of Python for data analysis purposes
- Competence in at least one business intelligence tool such as Looker or Metabase, and a strong grasp of data visualisation techniques
- Proven track record in leading experimental initiatives, use of statistical methods, design and analysis of experiments, and providing insightful recommendations
- Familiarity with supervised machine learning frameworks, including but not limited to, Linear Regression, Decision Trees, and Gradient Boosting
What we offer
Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits.
- Competitive salary
- Employee stock options plan
- Relocation allowance
- Lunch allowance
- Medical insurance, including dental
- Best-in-class equipment
- Professional development subsidies
- Wheely has an in-person culture but allows flexible working hours and work from home when needed
Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Business Intelligence Computer Science Data analysis Economics Engineering Looker Machine Learning Mathematics Metabase Privacy Python SQL Statistics Testing
Perks/benefits: Career development Competitive pay Equity Flex hours Gear
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs