Senior Data Science Engineer, Big Data R&D

Remote USA

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Job's description

Who We Are:

Socure is redefining identity verification with groundbreaking technology, supporting myriad organizations with the most accurate authentication tools in the industry.

What we build helps businesses scale faster, stop fraud, and ultimately allows millions of people who are excluded from the digital economy (due to outdated fraud detection models) to take part in it like everyone else. 

Our culture is about innovation, winning, and customer obsession. We are full of top performers that prioritize excellence and results, as well as support for one another, on the path to achieving our mission: to verify 100% of good identities in real time and completely eliminate identity fraud for every applicant on the internet.

To learn more about working at Socure visit our career page here:

The Socure Big Data R&D team is responsible for developing cutting edge entity-resolution algorithms, using graph techniques on massive datasets for anomaly detection and troubleshooting, supporting the modeling team with feature engineering, building probabilistic models for identity matching,  building data-processing pipelines, evaluating the performance of new data sources, and providing analytical support to the Socure compliance and regulatory product suite, which includes a highly acclaimed Know-Your-Customer (KYC), and global watchlist products.

What You'll Do:

  • Implement and customize large scale automated ETL pipelines
  • Test and deploy models
  • Work with big-data frameworks and ML platforms
  • Develop and improve data science workflows: deploying models, building validation frameworks, performance monitoring, etc.
  • Implement A/B testing
  • Optimize computational resources and improve big-data querying tools
  • Provide data quality support to teams working with sensitive data
  • Work well in a fast-paced cross-functional environment
  • Contribute to innovations of identity-verification data solutions

What You'll Bring:

  • Master’s degree in computer science, engineering, financial engineering, or equivalent practical experience with 3+ year of experience in data engineer role
  • Must have programming experience in Python and Scala (or Java)
  • Experience in design and improvement of data quality, metadata data management, data discovery, reporting, and analytics.
  • Experience in automation of object-oriented data pipelines and algorithms 
  • Experience with data mining, machine learning algorithms and ML libraries, statistical tools and underlying theory.
  • Experience with Graph database, Elasticsearch, and Snowflake is a plus!

Perks & Benefits: 

  • Competitive base salary + bonus
  • Equity - every employee is a stakeholder in our upside
  • Medical, dental and vision benefits for employees and their dependents 
  • Parental leave and fertility support
  • Flexible PTO
  • 401K with company match
  • Stipend to supply your home office
  • Annual professional development stipend 

A Message on COVID-19:

Socure's number one priority is to safeguard the health and well-being of our team members, our families and our communities. During this unprecedented time, we are closely monitoring COVID-19 developments and updating our response plan quarterly. We are regularly soliciting feedback from our employees to help inform our return-to-office strategy. For our team members who loved going into the office, we are looking forward to meeting once again! But until then, we are striving to ensure that Socureans have the resources and support they need to excel from home. This includes a work-from-home stipend so you can build your home office and fun, virtual events so you can continue to feel connected to your coworkers.


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