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Senior Data Scientist, Data Solutions

The Data Solutions/Transpose team is an exciting new member of the Chainalysis family, working to deliver a cutting edge blockchain intelligence platform used by the world’s foremost intelligence, law enforcement, tax, and regulatory agencies, alongside many market leaders in the private sector.  Our technology is used to automate and simplify solutions to complex investigations, provide real-time threat actor monitoring, give insight into the topology of threat landscapes, and much more.

As a Senior Data Scientist, you’ll lead the design and curation of all of the data assets that are provided to our customers within our product to execute on these mission areas.  You will be responsible for interacting directly with our customers, understanding unmet mission needs, and translating this into the development and improvement of data assets that leverage the data produced by dozens of other teams across Chainalysis, as well as datasets that we purchase from external providers. 

You’ll help us to raise the bar on data quality, by working closely with Data Engineers to implement reliability, trustworthy pipelines and automated data quality checks. In aggregate, the work that you lead will provide our customers with the ability to derive powerful and unique insights that are used to drive global investigatory efforts, trans-national threat actor monitoring, national security enhancements, and much more.

In this role, you’ll:

  • Work directly with our customers, their account teams, and our product management function within Chainalysis, to deeply understand customer focuses and mission areas.  With this in mind, you’ll then work with other Data Scientists to identify opportunities to further assist our customers by creating or improving existing data assets.

  • Work with our Data Engineers to implement pipelines that create these data assets in a scalable, trustworthy, and accurate way.

  • Create and maintain methodologies to ensure that data assets we create are maintainable, observable, and do not develop regressions over time.

  • Work with other teams across Chainalysis to ensure that we are tracking the right ‘building block’ datasets to build these data assets on top of.

  • Ensure that our landscape of data assets is standardized, self-explanatory, well-documented, easily usable, and the linkage between customer mission area and relevant data assets is clear.

  • Conduct data analysis and customer/stakeholder conversations to understand the success of customers with our data, and our product.

  • Experiment with new methodologies to derive powerful conclusions from the hundreds of terabytes worth of datasets we already have accessible in our platforms.

  • Manage the lifecycle of data assets (customer-facing launches, changes, deprecations, etc.)

  • Have a significant impact on the landscape of national security, international law enforcement, and promoting safe adoption of cryptocurrency in the mainstream.

We’re looking for candidates who have:

  • Strong development experience in Python

  • Excellent SQL Skills

  • Knowledge of SQL database technologies

Nice to have experience:

  • Experience designing and launching customer-facing data assets

  • Experience working with blockchain/crypto data

  • Experience with Databricks

  • Experience with PySpark/Spark SQL/DLT

  • Experience with Apache Flink

Technologies we use: 

  • Python

  • SQL (PostgreSQL, Databricks SQL Warehouses)

  • Databricks (Spark SQL, DLT, PySpark)

  • Kafka

  • Google Cloud Platform

About Chainalysis

Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.

You belong here. 

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Harvey Milk Day, World Humanitarian Day, and UN International Migrants Day, and a commitment to continue revisiting and reevaluating our diversity culture. 

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. You can learn more here. We can’t wait to meet you. 

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What You Should Know About Senior Data Scientist, Data Solutions, Chainalysis

Join the innovative Data Solutions/Transpose team at Chainalysis as a Senior Data Scientist, where you'll have the opportunity to influence decisions that matter! Here in New York City, we're building a cutting-edge blockchain intelligence platform that empowers intelligence, law enforcement, and regulatory agencies, as well as market leaders in the private sector. In this role, you'll lead the design and curation of vital data assets to meet our customers' mission needs. You'll directly engage with clients to identify their challenges and translate those insights into actionable data improvements, collaborating with our fantastic team of Data Engineers to ensure our data pipelines are operationally robust. Imagine helping to elevate data quality, creating a framework that keeps our assets maintainable and observable, while also diving into hundreds of terabytes of data to extract powerful insights that can shape national security and enhance the adoption of cryptocurrency. You’ll be at the forefront of data analytics, conducting crucial customer conversations and improving the overall experience by making our data assets standardized and user-friendly. This is your chance to make a significant impact in the world while collaborating with passionate colleagues dedicated to a common mission. Let’s change the way the world sees blockchain technology, together!

Frequently Asked Questions (FAQs) for Senior Data Scientist, Data Solutions Role at Chainalysis
What are the main responsibilities of a Senior Data Scientist at Chainalysis?

As a Senior Data Scientist at Chainalysis, you will engage directly with customers to understand their mission needs and work with other Data Scientists to improve data assets. You will collaborate with Data Engineers to implement reliable data pipelines, oversee the development lifecycle of data assets, and analyze their impact on customer success.

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What skills are required for the Senior Data Scientist position at Chainalysis?

Candidates for the Senior Data Scientist role at Chainalysis should have strong Python development experience, excellent SQL skills, and knowledge of SQL database technologies. Nice to have skills include experience with blockchain data, Databricks, and Apache Flink.

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How does the Senior Data Scientist role contribute to national security at Chainalysis?

In the Senior Data Scientist position at Chainalysis, your work will directly contribute to national security by providing clients with powerful insights drawn from advanced data analytics. You'll help law enforcement and regulatory agencies leverage blockchain intelligence to combat fraud and monitor threat landscapes effectively.

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What technologies do Senior Data Scientists at Chainalysis typically use?

Senior Data Scientists at Chainalysis primarily utilize Python and SQL, particularly PostgreSQL. They also work with Databricks for Spark SQL processing, Google Cloud Platform, and technologies like Kafka for data streaming.

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What is the work environment like for a Senior Data Scientist at Chainalysis?

The work environment at Chainalysis is collaborative and inclusive, fostering diversity of thought and experience. As a Senior Data Scientist, you'll join a team committed to constant learning and improvement, with opportunities to contribute to an impactful mission.

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Common Interview Questions for Senior Data Scientist, Data Solutions
Can you explain your experience with Python and how it’s relevant to data science?

When discussing your experience with Python, highlight specific projects where you've applied your programming skills for data analysis or machine learning. Be prepared to mention libraries such as pandas and NumPy that you've used to manipulate and analyze datasets effectively.

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How do you approach data quality issues in your projects?

For data quality issues, explain your methodology for identifying data inconsistencies. Discuss your approach to implementing automated checks and balances to ensure that the data remains accurate and reliable throughout its lifecycle.

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What is your experience with SQL databases and data manipulation?

Share specific instances where you’ve designed complex queries to extract meaningful insights. Talk about how you optimized these queries for performance and the types of databases you have experience with, such as PostgreSQL and Databricks.

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Describe a project where you worked closely with clients or stakeholders.

Focusing on a specific project, explain how you gathered requirements from clients and translated them into data solutions. Emphasize the importance of understanding customer needs and how you adjusted your project accordingly.

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Can you provide an example of a successful data asset you developed?

When asked about a successful data asset, articulate the problem it solved, how you gathered and processed the data, and the impact it had on the client or organization. Metrics showcasing success can strengthen your answer.

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How do you stay current with trends in data science and blockchain technology?

Share your strategies for staying informed, such as following industry publications, attending conferences, or participating in online forums. Discuss how you apply new knowledge to your work and projects.

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What is your experience with big data technologies like Spark or Databricks?

Detail your experience working with big data technologies such as Spark and Databricks, discussing specific projects where these technologies allowed you to process large datasets efficiently. Mention any tools you have used alongside them.

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How do you prioritize tasks when managing multiple data projects?

Explain your approach to project management, including methodologies you’ve used like Agile or SCRUM, and how you prioritize tasks based on urgency, impact, and resource availability to deliver results.

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Discuss the importance of data documentation and standardization.

Emphasize how thorough documentation facilitates collaboration and knowledge transfer among team members, while standardization helps create a predictable and manageable environment for data asset development.

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What do you consider key challenges in working with data in law enforcement?

Articulate the unique challenges, such as privacy concerns, data accuracy, and the evolving nature of crime related to blockchain technology. Discuss how you navigate these challenges to provide effective data solutions.

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Cryptocurrencies have already opened up new markets and made the global economy bigger, fairer, and more deeply integrated. We’re only seeing the beginning of what this transformative technology has to offer. But cryptocurrency needs greater trus...

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DATE POSTED
February 14, 2025

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