Senior Data Scientist

Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.

Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.

Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products:

https://www.youtube.com/watch?v=ifM9_jPQCv8

• About Socure:
  
  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.
  
  Overview:
  
  The Socure DS Fraud team is responsible for developing cutting edge Fraud & Risk products to detect identity theft, synthetic identities, first-party fraud, etc., 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. ​
  
  Responsibilities:
   

• Develop machine learning, data mining, statistical, and graph-based algorithms designed to analyze massive data sets, uncovering key insights in fraud and risk patterns.

• Collaborate closely with Cloud technologists to ensure algorithms are properly implemented and optimized for scale within cloud environments.

• 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
  
  Qualifications:
   

• Education: ME/MSc in Computer Science, Industrial Engineering, Electrical Engineering, Operations Research, Mathematics, Statistics, or a related field, or equivalent work experience. PhD strongly preferred. 

• Experience:  

• A minimum of 4 years of industry experience working in a similar role

• PhD + a minimum of 2 years of industry experience working in a similar role is strongly preferred

• Proficient in developing machine learning models and data-driven algorithms in information retrieval, relevance, or machine learning.

• Extensive experience with Hadoop, Spark, and other distributed systems.

• Familiarity with graph technology, including graph databases and graph-based algorithms, for analyzing and interpreting complex networks.

• Strong programming skills in Python (especially pySpark) and a good working knowledge of SQL. 

• Experience working with AWS, Databricks, and other Big Data tools. 

• Excellent problem-solving and analytical skills.
  
  Nice to have:
   

• Dashboard development experience (Looker, Tableau, etc.)

• Experience with data workflow managers such as Airflow, Mlflow, Drake, or Luigi

• Programming experience in Scala, Java

• Experience with containerization (Docker)
   

• Salary Disclosure:
  Base Salary range: $130,000 - $160,000

• This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity,  comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus.
  Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.

Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.

We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.

To learn more, check out Socure’s Career Page: https://www.socure.com/company/careers

Socure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

To learn more about how our work is changing the world, check out these articles and videos:

• Socure is Forbes' 2022 Best Startup Employer: https://bit.ly/3fbNw8S

• Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7

• Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU

• Socure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4

• Archives & Press Releases: https://learn.socure.com/about/press-release

Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.