At a Glance
- Tasks: Lead exciting data science projects and turn complex problems into actionable insights.
- Company: Join a forward-thinking company at the forefront of blockchain technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on innovation.
- Why this job: Make a real impact in the evolving world of blockchain and data science.
- Qualifications: PhD or equivalent experience in a technical field; expert in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
In this role, you'll own the execution of one or more production data science projects, translating broad problem statements into well‑scoped tasks and credible analytical results that meet stakeholder expectations. Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute on‑chain activity and uncover new insights. Apply advanced techniques including graph computation, statistical modeling, and machine learning to large‑scale on‑chain datasets. Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack. Clearly articulate and defend methodology and results to both technical and non‑technical stakeholders, maintaining alignment through consistent communication. Mentor junior team members, contribute to technical hiring, and share knowledge. Collaborate closely with peers to bring research from prototype to production.
We're looking for candidates who have:
- A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field – or equivalent industry experience working on advanced, data‑intensive problems.
- Expert‑level proficiency in Python and SQL, with a track record of writing clean, testable, production‑quality code.
- Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets.
- Comfort working with EVM‑based blockchain data, or strong evidence of the aptitude to ramp up quickly on EVM data structures and protocols.
- A demonstrated ability to take ownership of projects: decomposing requirements, driving them to completion, and proactively seeking clarity from stakeholders.
- An analytical, open‑minded approach to problem solving – comfortable navigating ambiguity and willing to dive into problems outside your day‑to‑day scope.
- Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences.
You might also have:
- Familiarity with Databricks, DBT, Spark/PySpark, or similar large‑scale data platforms.
- Modified infrastructure‑as‑code (e.g. Terraform) or contributing to production data pipelines.
- Mentored junior data scientists or engineers.
- Knowledge of, or passion for, the cryptocurrency and blockchain space.
Technologies we use:
- Python
- SQL
- Databricks
- DBT
- PySpark / Spark
- Terraform
- AWS
- Postgres
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don’t hesitate to let us know.
Senior Data Scientist employer: Chainalysis Inc.
As a Senior Data Scientist at our innovative company, you'll thrive in a dynamic work culture that values collaboration and continuous learning. We offer competitive benefits, including flexible working arrangements and opportunities for professional development, all while being at the forefront of blockchain technology in a vibrant location. Join us to make a meaningful impact, mentor the next generation of data scientists, and contribute to groundbreaking projects that shape the future of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with blockchain. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and advanced analytical techniques. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex methodologies in simple terms, as you'll need to impress both technical and non-technical stakeholders.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in data science and blockchain. We want to see how you can own projects and deliver results!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our needs. Don’t forget to mention any experience you have with EVM-based blockchain data – we love that stuff!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We’re looking for candidates who can navigate ambiguity and take ownership of their projects, so share those stories that demonstrate your analytical approach!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Chainalysis Inc.
✨Know Your Data Inside Out
Make sure you’re well-versed in the specific data science techniques mentioned in the job description. Brush up on your Python and SQL skills, and be ready to discuss how you've applied advanced analytical techniques like graph algorithms and machine learning to large datasets.
✨Prepare to Explain Your Methodology
You’ll need to articulate your thought process clearly, so practice explaining complex concepts in simple terms. Think about how you would present your past projects to both technical and non-technical stakeholders, as this will be crucial in demonstrating your communication skills.
✨Show Ownership of Projects
Be prepared to discuss examples where you took ownership of a project from start to finish. Highlight how you decomposed requirements, drove tasks to completion, and sought clarity from stakeholders. This will show that you can manage ambiguity and deliver results.
✨Mentorship Matters
If you have experience mentoring junior team members, make sure to bring it up! Discuss how you’ve contributed to their growth and how you can continue to foster a collaborative environment. This aligns with the role’s emphasis on teamwork and knowledge sharing.
