Socure Logo

Socure

Senior Data Scientist, Client Analysis

Posted 11 Days Ago
Remote
Hiring Remotely in USA
155K-175K Annually
Senior level
Remote
Hiring Remotely in USA
155K-175K Annually
Senior level
Analyze customer data, develop models, create data stories, collaborate with teams to drive revenue and improve risk management solutions.
The summary above was generated by AI

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.

Top Skills

Airflow
Amazon Emr
Apache Arrow
Spark
Databricks
H2O
Jupyter
Looker
Numpy
Pandas
Pyspark
Python
Redshift
S3
Seaborn
Shap
Snowflake
Tableau

Similar Jobs

6 Hours Ago
Remote
New York, USA
Mid level
Mid level
Artificial Intelligence • Big Data • eCommerce • Analytics • Business Intelligence
As a Machine Learning Engineer, you will develop and implement data models for e-commerce profitability, focusing on real-time personalization and offline recommendations.
Top Skills: Apache FlinkAWSClickhouseKafkaKinesisPandasPolarsPythonPyTorchScikit-LearnSnowflakeTensorFlow
6 Hours Ago
Easy Apply
Remote
United States
Easy Apply
181K-260K
Senior level
181K-260K
Senior level
eCommerce • Information Technology • On-Demand • Professional Services • Software
The Senior Data Engineer will design and build marketing data products, collaborating across teams to optimize datasets and ensure data quality.
Top Skills: Apache AirflowApache KafkaBigQueryDbtETLPythonSQL
6 Hours Ago
Remote
Hybrid
68 Locations
148K-317K Annually
Senior level
148K-317K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Director in Data Architecture at PwC, you will lead data architecture strategies, promote innovation, and ensure compliance with data governance while mentoring teams and collaborating with stakeholders.
Top Skills: AWSAzureData LakesData WarehousesFastapiGCPIamPythonSnowflakeSQL

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account