Senior Data Scientist

Toronto, Canada

Applications have closed

Ripple

Ripple is the leading provider of crypto solutions for businesses. Learn how we’re helping organizations of all sizes drive impact with the power of crypto.

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At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. 

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

THE WORK:

RippleX supports and contributes to the XRP Ledger, the world’s fastest, most sustainable, and consistently reliable blockchain — it's been carbon neutral for over two years! Our focus is on empowering others to leverage the XRPL to solve their challenges, whether that’s through building user-friendly libraries dapp-based money transfers, contributing specifications for emerging needs like AMMs and NFTs, building a toolkit for custom "sidechain" networks, or democratizing blockchain infrastructure. Our mission: simplify access to instant decentralized payments by offering infrastructure, tools, and developer support for XRPL innovation.

We are seeking a senior data engineer who match our beliefs in the power of this technology. You see the huge potential of this technology and also have the entrepreneurial spirit and technical excellence to realize the vision we have. There is a lot of work to get there but we are committed to building out the best team to achieve this.

WHAT YOU’LL DO:

  •  Design and implement data ingestion systems for structured and unstructured data, including on-chain and off-chain data
  • Collaborate with product and data science teams to analyze complex data flows and dependencies, and design data models for optimal storage and retrieval processes
  • Contribute to the orchestration layer of complex data transformations, refining and optimizing processes
  • Develop observability systems and proactive/automated exception handling to supervise ingestion and ETL processes and maintain data quality and freshness
  • Participate in the research and evaluation of new/additional software tools and integrations to assist database maintenance and development
  • Strong ownership and communication skills to recommend improvements to existing data systems, support and align efforts to meet data user needs, and analyze issue root causes

WHAT YOU'LL BRING: 

  • 5+ years of experience in Python and 3+ years of experience with SQL
  • 5-8 years of experience in data engineering, with demonstrated capability in using data APIs for ingestion, distributed computing technologies (e.g Spark), ETLs, query performance optimization, and application of modern SDLC methods to data pipeline development and data warehousing
  • At least Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field
  • Strong problem solving and analytical skills (performance analysis, defect analysis, and reporting)
  • Strong written and communication skills; ability to convey innovative ideas clearly and effectively
  • Organized and meticulous
  • Worked with Databricks ETL platform a huge plus
  • Worked with decentralized technologies and know how to index blockchain data a plus

Other common names for this role: Data Scientist, Senior Data Engineer

WHO WE ARE:

Do Your Best Work

  • The opportunity to build in a fast-paced start-up environment with experienced industry leaders
  • A learning environment where you can dive deep into the latest technologies and make an impact.  A professional development budget to support other modes of learning.
  • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
  • Ripple is Flexible First: in-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
  • Weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
  • We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!

Take Control of Your Finances

  • Competitive salary, bonuses, and equity
  • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
  • Employee giving match
  • Mobile phone stipend

Take Care of Yourself

  • Twice a quarter R&R days so you can rest and recharge
  • Generous wellness reimbursement and weekly onsite & virtual programming
  • Generous vacation policy - work with your manager to take time off when you need it
  • Industry-leading parental leave policies. Family planning benefits.
  • Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events

Benefits listed above are for full-time employees. 

Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.   Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Blockchain Computer Science Crypto Databricks Data quality Data Warehousing Engineering ETL Mathematics Privacy Python R Research SDLC Spark SQL Statistics Unstructured data

Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Lunch / meals Medical leave Parental leave Snacks / Drinks Startup environment Team events Wellness

Region: North America
Country: Canada
Job stats:  23  7  0
Category: Data Science Jobs

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