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: Enjoy competitive pay, 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 60000 - 80000 £ 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 professional development opportunities and a commitment to diversity and inclusion, ensuring that every voice is heard. Located in a vibrant tech hub, you'll have access to cutting-edge resources and the chance to work on impactful projects that shape the future of blockchain technology.
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 machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to articulate your methodologies to both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 Application:Make sure to customise your CV and cover letter for the Senior Data Scientist role. 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 fit into our team!
Showcase Your Projects:When detailing your past work, focus on specific projects where you've taken ownership and delivered results. Use metrics to demonstrate your impact, especially if you've worked with large datasets or advanced analytical techniques. This helps us see your problem-solving skills in action.
Communicate Clearly:Since you'll be explaining complex methodologies to various stakeholders, make sure your application reflects strong communication skills. Use clear language and avoid jargon where possible. We appreciate candidates who can articulate their thoughts effectively!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Chainalysis Inc.
✨Know Your Data Science Stuff
Make sure you brush up on your advanced analytical techniques, especially graph algorithms and machine learning. Be ready to discuss how you've applied these methods to large datasets in the past, and think of specific examples that showcase your expertise.
✨Communicate Clearly
Since you'll need to explain complex methodologies to both technical and non-technical stakeholders, practice articulating your thought process. Use simple language to break down your work and ensure everyone understands your approach and results.
✨Show Ownership
Prepare to demonstrate how you've taken ownership of projects before. Think about times when you decomposed requirements and drove tasks to completion. Be ready to share how you proactively sought clarity from stakeholders to keep things on track.
✨Get Familiar with EVM Data
If you're not already well-versed in EVM-based blockchain data, take some time to learn about it. Show your enthusiasm for the cryptocurrency space and be prepared to discuss how you would ramp up quickly on EVM data structures and protocols.
