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Senior Data Scientist, Client Analysis

CybSafe

Snowflake (AZ)

Remote

USD 155,000 - 175,000

Full time

9 days ago

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Job summary

A leading company in identity verification seeks a Sr. Data Scientist to analyze data, create actionable insights, and collaborate with teams to drive revenue. The ideal candidate will have extensive experience in machine learning, data storytelling, and quantitative analysis, contributing to impactful business decisions.

Benefits

Generous incentive bonus
Comprehensive benefits
Equity in company

Qualifications

  • 5+ years experience in data science or analytics.
  • Extensive understanding of machine learning methods.
  • Ability to explain complex analysis to non-technical audiences.

Responsibilities

  • Analyze customer data sets and provide insights.
  • Create data stories for clients to support decision-making.
  • Partner with sales to identify upselling opportunities.

Skills

Machine Learning
Data Analysis
Python
SQL
Data Storytelling

Education

Degree in a quantitative field
Advanced degree preferred

Tools

Python ecosystem
Databricks
AWS
Azure
Redshift
Looker

Job description

At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale.

As a remote-first company, Socure fosters a culture of autonomy, collaboration, and continuous learning. Our teams are empowered to take ownership, move fast, and build technology that drives real-world change. Recognized by Forbes, Deloitte, and Inc. as one of the fastest-growing and most innovative companies in tech, we’re just getting started–come join us.

Explore SocureLife and help us redefine digital trust.

About the role:

Join Socure’s Data Science Client Analysis team as a Sr. Data Scientist—this is a remote role based anywhere in the U.S..

In this unique role as SR. Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell compelling data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle.

This role is ideal for a Data Scientist who thrives on communicating data stories to both technical and non-technical audiences. It’s a great fit for someone who enjoys working with data and directly influencing business decisions. Data Scientists on the Client Analysis team are rewarded for their contributions to driving new business with a generous incentive bonus, in addition to a competitive base salary.

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 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 Program 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

Qualifications:

  • You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.

  • You have 5+ 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 Pyspark, and have 5+ 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 use

The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones.

  • Python ecosystem (Pyspark, Pandas, Numpy, H2O, SHAP, Seaborn, Jupyter, etc)

  • Databricks

  • Airflow

  • Redshift, Snowflake, S3

  • Apache Spark, Apache Arrow

  • Amazon EMR

  • Looker, Tableau

Salary Disclosure:

Base Salary range: $155,000-175,000

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. This position is eligible for a generous sales incentive bonus.

Explore SocureLife to learn more and check out Socure’s Career Page.

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