Senior Data Scientist, Client Analysis
Socure
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $160,000 - $180,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPySparkPythonSQL
About the role
- Analyze massive customer data sets, derive actionable insights, and explain model performance and optimal risk management policies
- Act as a Data Science advocate: deeply understand Socure’s solutions and customers’ risk challenges to educate and influence
- Create convincing data stories to showcase how Socure can eliminate identity fraud, streamline end-user experience, and support holistic risk management
- Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product
- Create tools and automated workflows to improve speed, accuracy, and reproducibility of analyses
- Partner closely with GTM teams (Sales, Solution Consultants, Account Managers, Technical Program Managers) to identify upsell and product optimization opportunities
- Build ML models when advantageous to explore approaches beyond established production models
- Support pre- and post-sales cycles to drive revenue generation by demonstrating product value to potential and existing customers
Requirements
- Degree in a quantitative field or equivalent work experience (advanced degree preferred)
- 5+ years experience in data science, data analysis, or analytics engineering
- Extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
- 5+ years experience writing clean, performant code in Python and PySpark and working with massive real-life datasets
- Experience querying relational databases with SQL
- Experience with cloud tools and technologies in AWS, Azure, Databricks, or GCP
- Ability to tell compelling stories with data (dashboarding, interactive data stories, actionable presentations)
- Ability to explain complex ML/AI algorithms and analyses to non-technical audiences
- Excellent verbal and written communication and presentation skills
- Comfortable working in a remote startup environment and self-directed
- Experience in identity verification and fraud prevention (strongly preferred)
- Eligible to work in the United States indefinitely without employer sponsorship