Data Scientist
BitGo Inc.
BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit [
BitGo is looking for a Data Scientist who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions.
Responsibilities:- Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business
- Work collaboratively with cross-functional teams to implement reporting solutions driven by business requirements
- Design experiments and interpret results to draw detailed and impactful conclusions
- Develop and automate reporting of key performance indicators of various BitGo’s products and services at scale
- Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
- Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines
- Be a data evangelist and help BitGo improve its products and services
- Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations.
- Be able to leverage AI to build & automate workflows , insights drill down and increase efficiency
We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.
Required:- 2+ years industry experience in data analytics field for those with Masters degree / 3+ years with Bachelors.
- Advanced knowledge of SQL, scripting languages(python) and database concepts
- Knowledge of Basic Statistics required
- Comfortable leveraging AI / Claude for increasing work efficiency and building workflows
- A consistent track record of performing data analysis using scripting language (Python, Javascript, etc) and/or experience with a programming language (Java, Scala, Golang, etc)
- Strong understanding of statistical concepts
- Experience with BI Software (Domo, Tableau, Looker)
- Familiarity with data warehouse development and best practices
- The versatility and willingness to learn new technologies on the job
- The ability to clearly communicate complex results to technical and non-technical audiences
- Familiarity with cryptocurrency ecosystem
Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.
Here are some of the benefits of working at BitGo:
- Competitive salary
- IT equipment support for work
- Meal & Commute allowance
- Medical Insurance
- Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
- Snacks: on-the-house in the Bangalore office
- Great/Talented workforce to learn and grow with
Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.
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