About this role
The Data Scientist II position at Socure is a remote role based in the USA that focuses on analyzing massive datasets and partnering with go-to-market teams to drive revenue and showcase product value. This opportunity suits professionals with quantitative expertise who enjoy communicating complex data stories to both technical and non-technical audiences.
Role Overview
As a Data Scientist II on the Client Analysis team, you will leverage your expertise in algorithms and large datasets to demonstrate the value of Socure's offerings. Working closely with sales and technical account management teams across the pre and post-sales cycle, you will help customers understand model performance and optimize risk management policies. This position features a generous incentive bonus opportunity alongside a competitive base salary.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
The annual base salary for this position ranges from $150,000 to $185,000 USD per year. Additionally, data scientists on the Client Analysis team are eligible for a generous incentive bonus opportunity tied to driving new business.
About the Company
Socure builds the identity trust infrastructure for the digital economy, verifying identities in real time and preventing fraud before it starts. The company values individuals who move fast, think critically, act like owners, and maintain a high standard for solving complex customer challenges.
How to Apply
To apply for this position, please visit the official Socure careers page and submit your application online.
Skills and tech stack
Questions candidates ask
What is the salary range for the Data Scientist II role?
The base salary ranges from $150,000 to $185,000 USD per year, supplemented by a generous incentive bonus opportunity.
Is this a remote position?
Yes, this role is based remotely in the USA.
How much experience is required to apply?
Candidates must have 2 or more years of professional experience in data science, data analysis, or analytics engineering.
What technical skills are expected for this role?
Candidates should know how to write clean code in Python, query relational databases using SQL, and work with cloud technologies like AWS, Azure, GCP, or Databricks.
What does the Client Analysis team do?
The team analyzes customer data, evaluates models, optimizes workflows, manages monitoring and alerts, and partners with go-to-market teams to drive revenue and demonstrate product value.