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 Scientist 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:

• Develop machine learning, data mining, statistical, and graph-based algorithms designed to analyze massive data sets; partner with Cloud technologists to ensure proper implementation and usage of said algorithms
• Analyze large data sets to develop multiple, custom models and algorithms to drive innovative correlations for fraud and acceptance data as well as social data
• Implement new data modeling solutions and improvements to existing solutions
• Integrate new data sources and API third-party products in the main framework
• Work with Big Data technologies using Spark
• Provide analytical support to the data science team
• 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
• A minimum of 5+ years of industry experience working in a similar role
• Experience in developing data-driven algorithms in information retrieval, relevance, or machine learning and working with distributed systems
• 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) 
• 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.