Data Scientist II, Client Analysis

Socure Inc.
Washington, DC, United States
19 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Amazon S3 Data Analysis Apache HTTP Server Microsoft Azure Batch Processing Cluster Analysis Customer Data Management Data Warehousing Relational Databases Fraud Prevention and Detection
+30 more
JSON Python (Programming Language) Machine Learning NumPy Performance Tuning Standard Sql SQL Databases Tableau (Software) Data Processing File Transfer Protocol (FTP) Large Language Models SHAP (Shapley Additive Explanations) Snowflake Apache Spark Model Validation Jupyter Git Pandas Matplotlib Pyspark Performance Monitor Looker Analytics Software Version Control Data Pipelines Automation Anywhere Api Management Amazon Elastic Mapreduce (EMR) Unsupervised Learning Amazon Redshift Databricks

Job description

Why Socure?Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.Data Scientist, Client Analysis (DS-II)About the role:We are currently looking for a Data Scientist (DS-II) to join our Data Science, Client Analysis team to be based remotely in the USA.In this unique role as 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 is an excellent opportunity for a Data Scientist who thrives when theyre able to communicate a data story to an audience (tech and non-tech), and who is not satisfied only working behind the scenes. Data Scientists on the Client Analysis team are compensated for their part in driving new business with a generous incentive bonus opportunity on top of 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 policiesAct 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 perspectiveCreate 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 holisticallyProvide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and productCreate tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysisPartner 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 optimizationBuild ML models when it is advantageous to explore different approaches over the established models in productionQualifications: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 engineeringYou have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methodsYou know how to write clean, performant code in Python, and have 2+ years experience working with massive real-life datasetsYou have experience querying relational databases with SQLYou have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCPYou 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 audiencesYou are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messagesYou thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountableYou 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.Python ecosystem: PySpark, Pandas, NumPy, H2O, SHAP, Seaborn, Jupyter, and related data-science librariesSQL and data warehouses: SQL, Redshift, Snowflake, and S3Data processing: Databricks, Apache Spark, Apache Arrow, and Amazon EMRData pipelines and automation: Airflow, batch processing, SFTP/PGP, webhook data, and automated daily/weekly reportingModel evaluation and risk analytics: backtesting, train/holdout/OOT analysis, performance monitoring, threshold tuning, and model/rule QAVisualization and storytelling: Tableau, Looker, dashboards, and interactive presentationsML/AI workflows: supervised and unsupervised learning, transformers, clustering, graph analytics, explainability, and LLM/agentic workflowsEngineering and analytical practices: Git-based version control, production-quality and reproducible analysis, automated data-quality and validation testing, API integrations, and working with structured data formats such as JSON.Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.Follow Us!YouTube LinkedIn X (Twitter) Facebook

Requirements

  • 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)

About the company

Why Socure?

Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…