Principal Applied Scientist / Machine Learning Engineer (Commerce Graph)

Principal Applied Scientist / Machine Learning Engineer (Commerce Graph)

This job is no longer open

Reports to: Senior Director of Engineering

Powering the business requires a deep, semantic understanding of the real-world entities at the core of commerce including businesses, merchants, payment channels, customers, and all the ways they interact. The Commerce Graph team is responsible for constructing a unified model of these entities across data sources. The graph is the source of truth on which the team also builds solutions for transaction understanding, data discovery, data mining, and exploration. It enables partner teams across the company to build richer campaign offerings, develop deeper targeting models, provide merchant insights, and more.

You will:

  • Lead data analysis, research, and development of core techniques for integrating and enriching massive datasets to construct a rich, semantic graph representation of commerce in the real world
  • Collaborate closely and build rapport with product and engineering teams across organizations to influence long term strategy for the team and organization
  • Research and implement state of the art approaches for information extraction, data normalization, inference, entity reconciliation, NER (Named Entity Recognition) / NEL (Named Entity Linking), and truth discovery at scale
  • Own the end-to-end lifecycle from inception to production deployment

You have:

  • 6+ years of hands-on experience in data science, machine learning, and/or natural language processing over large data sets
  • Experience developing, launching, and maintaining ML models in a production setting
  • Knowledge and experience with graph data models and algorithms, graph ML, and semantic data representations are a plus
  • Experience working with cloud-based tools for data analysis and ML lifecycle management is a plus
  • MS or PhD degree in Computer Science or a related field

You are:

  • Skilled and knowledgeable in the latest machine learning techniques
  • Self-motivated and passionate about building high quality solutions
  • A strong cross functional team player, working with product and engineering counterparts across organizations to support business critical applications
  • Excellent at problem solving through experimentation and rapid iteration
  • An effective communicator and mentor with a data-driven, solution-oriented mindset

We offer:

  • $1,000 annual Lifestyle Spending Account - Company funded account that can be used for physical, emotional, and financial wellness!
  • Flexible PTO
  • Healthcare benefits that go into effect day one
  • Employer funded Health Savings Account (HSA)
  • Paid Maternity and Paternity Leave
  • Competitive compensation
  • Up to $5,250 annually for educational assistance and student debt repayment
  • $250 initial home office stipend + $900 annually for communication ($75/month)
  • 401k company match (50% of contributions up to 5% of earnings)
  • Programs for spot bonuses, referral bonuses, anniversary milestones, mentoring, top performer development, and more!

About Cardlytics

At Cardlytics (NASDAQ: CDLX), we created an industry…but we are just getting started. From idea inception at a kitchen table in Atlanta to now publicly traded on NASDAQ with offices around the world, we are proud of the work we've accomplished and are looking for more smart and creative minds to join us on our mission.

By using data for good, we connect brands with real people through their banks' digital channels (think: online and mobile apps). And when we make these connections, everyone wins - brands drive more sales, banks drive more loyalty, and people receive more cash back. It's that simple.

So how exactly does it work? Through our partnerships with financial services companies like Chase, Bank of America, Wells Fargo, and Venmo, we have insights into one out of every two card swipes in the U.S. This equates to roughly $3.1 trillion in annual purchase spend from more than 161 million bank customers.

Respecting this complete view of the consumer, we can create mutually beneficial relationships between those consumers and their favorite brands and financial services partners. These are relationships that otherwise would not have happened without our help. It's our advanced targeting that drives advertising performance - because performance matters, and it's our superpower.

Are you ready to become a shareholder and join a team filled with creatives and data scientists, consultants, and artists, to help redefine marketing?

We are committed to diversity, equity and inclusion, and leveraging our unique perspectives to grow our company to new heights, while ensuring Cardlytics is a great place where great people want to be.

This job is no longer open
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