Founded in 2012, Socure is the leader in high-assurance digital identity verification technology.  Named to Forbes’ 2019 AI 50 list as one of America’s most promising AI companies and a recent winner of API World’s Best Data API, Socure’s technology applies artificial intelligence and machine learning techniques with trusted intelligence from email, address, phone, IP, social media, and the broader Internet to verify identities in real time. Socure’s customers include three of the top five U.S. banks, seven of the top 10 U.S. card issuers, as well as the majority of leading digital banks, lenders and insurers across the U.S. Socure is funded by some of the world's best investors and entrepreneurs including Scale Venture Partners, Commerce Ventures, Work-Bench, Santander InnoVentures, and Two Sigma Ventures.

We are currently looking for a Senior Data Science Engineer for our Fraud Products Team to be based anywhere remotely in the USA.

The Socure DS Fraud team is responsible for developing cutting edge Fraud, Risk and Synthetic Identification products, building machine learning models using latest ML algorithms and technologies, building data-processing pipelines, evaluating the performance of new data sources, and providing analytical support to the Socure Fraud and Risk product suite.

In this role you will:

  • Analyze large data sets and data vendors
  • Integrate new data sources and API third-party products in the main framework
  • Work with Big Data technologies using Spark
  • Data Science quality assurance and testing
  • Monitoring and troubleshooting of in-production DS models and tools
  • Develop tooling, optimization and testing around core data science work
  • Build and maintain production-level python and R libraries for the data science team
  • Provide analytical support to the data science team
  • Execute best practices in version control and continuous integration / delivery
  • Own and drive projects from conception to completion
  • Collaborate with data scientists, engineers and other key stakeholders
  • Work well in a fast-paced cross-functional environment

Requirements:

  • BE/B.TECH/ME/MSc in computer science, mathematics, physics, statistics or similar or equivalent work experience
  • Strong previous work experience in a data engineering or software engineering:
    • A minimum of 2+ years of industry experience working in Software Engineering or Data Engineering
    • A minimum of 3+ years of industry experience working in Data Science or a similar role
  • Strong Python, R, Bash/Shell programming background
  • Good working knowledge of SQL

Nice to have:

  • Dashboard development experience (Dash, Bokeh, R Shiny)
  • Experience with data workflow managers such as Airflow, Drake, or Luigi
  • Experience in advanced analytics and developing machine learning models
  • Programming experience in Scala, Java
  • Experience in Hadoop, Spark, distributed systems
  • Experience with containerization (Docker) and container-orchestration systems such as Kubernetes
  • Experience with cloud ecosystems such as Microsoft Azure, Google Cloud Platform or Amazon Web Services

Perks & Benefits: 

  • Competitive base salary
  • 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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