Remote Data Scientist II — Client Analysis & Insights

Socure; United States; Remote; USD 110,000 - 145,000; Full time

Benefits offered by this job

Incentive bonus opportunity

Job summary

United States Digital Space LLC is seeking a Data Scientist (DS-II) to join the Data Science, Client Analysis team, working remotely in the USA. You will analyze massive customer data, build models, and translate complex results into clear stories for customers and the GTM team.

This role rewards scientific rigor, excellent communication, and the ability to influence decisions with data. Experience with Python, SQL, and cloud tools, plus a fraud/identity background, is highly valued.

Qualifications

• You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
• You have 2+ years 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)
• Technologies we useThe Data Science Client analysis team works across customer data, fraud and identity analytics, model evaluation optimizing workflows, monitoring/alerts, reporting and more. An ideal candidate will have experience with several of the technologies below and be excited to learn the rest.

Responsibilities

• 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 the company’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 the company’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

Skills

Python

SQL

Data storytelling

Communication

Education

Degree in a quantitative field

Advanced degree preferred

Tools

PySpark

Pandas

NumPy

H2O

SHAP

Job description

United States Digital Space LLC is seeking a Data Scientist (DS-II) to join the Data Science, Client Analysis team, working remotely in the USA. You will analyze massive customer data, build models, and translate complex results into clear stories for customers and the GTM team.

This role rewards scientific rigor, excellent communication, and the ability to influence decisions with data. Experience with Python, SQL, and cloud tools, plus a fraud/identity background, is highly valued.