At a Glance
- Tasks: Analyse complex datasets and drive data-driven decisions for innovative DeFi products.
- Company: Join 1inch, a leading DeFi ecosystem shaping financial freedom.
- Benefits: Enjoy competitive pay, unlimited vacation, and full support for your work gear.
- Other info: Be part of a young, creative team that values new ideas and growth.
- Why this job: Make an impact in the fast-paced world of crypto and DeFi from day one.
- Qualifications: 3+ years in data analytics, strong communication skills, and proficiency in SQL and Python.
The predicted salary is between 60000 - 80000 £ per year.
1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany).
We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience.
Key Responsibilities- Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions
- Design and maintain data collection processes and event storage systems
- Conduct research to identify patterns, trends, and growth opportunities
- Create intuitive dashboards and data visualisations for internal teams and external partners
- Propose and test hypotheses with empirical evidence
- Monitor and evaluate product metrics and user behaviour patterns
- Present findings and recommendations to stakeholders
- 3+ years of experience in data/product analytics
- BS in Computer Science, Engineering, Statistics, or related field
- Design and maintain data collection processes and event storage systems
- Conduct research to identify patterns, trends, and growth opportunities
- Experience creating intuitive dashboards and data visualisations for internal teams and external partners
- Excellent communication skills with ability to present complex findings to diverse stakeholders
- Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase)
- Intermediate SQL, Python knowledge
- Familiarity with A/B tests and Casual Inference
- Understanding of product analytics and user behaviour analysis
- Crypto/Web3 analytical stack (Dune, Nodes, Flipside)
- Low level blockchain data understanding (traces, events)
- Experience in uncovering business-driving data insights
- Join a young, creative team in a fast-paced and supportive environment
- We’re open to new ideas — if you’ve got a vision, pitch it and make it happen
- Enjoy competitive pay that matches your skills and experience
- Be part of a company that’s shaping the future of DeFi
- Take time when you need it — we offer unlimited vacation days
- Get fully compensated for your work gear — we’ll set you up for success
Remote Data Scientist in Sheffield employer: 1inch
At 1inch, we pride ourselves on being an innovative employer that fosters a dynamic and inclusive work culture. Our team thrives in a fast-paced environment where creativity is encouraged, and employees are empowered to make impactful contributions from day one. With competitive pay, unlimited vacation days, and full support for your work gear, we ensure that our Data Scientists not only excel in their roles but also enjoy a fulfilling work-life balance while shaping the future of DeFi.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Scientist in Sheffield
✨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 1inch!
✨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 Remote Data Scientist at 1inch.
✨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 1inch.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Data Scientist at 1inch, 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 Remote Data Scientist in Sheffield
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 1inch, 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 1inch. 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 1inch
✨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 1inch!
✨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.
