
Data Scientist II – Client Analysis
Socure
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $130,000 - $150,000 per year
About the role
- Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
- Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
- Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
- 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 the speed, accuracy, and reproducibility of our analysis
- Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization
- Build ML models when it is advantageous to explore different approaches over the established models in production
Requirements
- You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
- You have 3+ years working experience in data science, data analysis, or analytics engineering
- You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
- You know how to write clean, performant code in Python, and have 2+ years experience working with massive real-life datasets
- You have experience querying relational databases with SQL
- You have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP
- You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations)
- You are able to explain very complex algorithms such as ML/AI models, and analyses to non-technical audiences
- You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages
- You thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountable
- You have experience in identity verification and fraud prevention (strongly preferred)
Benefits
- Offers Equity
- Offers Bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata scienceanalytics engineeringmachine learningPythonSQLAWSAzureDatabricksGCP
Soft Skills
communicationstorytellingpresentation skillsgoal settingaccountability
Certifications
advanced degree in quantitative field