
Data Scientist II - Client Analysis
Socure · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Analyze massive datasets for actionable insights.
- Communicate data stories to technical audiences.
- Partner with go-to-market teams for revenue generation.
- Develop and optimize machine learning models.
- Drive innovation in identity verification solutions.
About the role
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.
About The Role
We are currently looking for Data Scientist to join our Client Analysis team.
In this unique role as Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell 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 they're 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.
What You'll Do
- 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
What You Bring
- 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)
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
Please note that we cannot provide sponsorship now or in the future for this role.
Applicants must be based out of a Socure Talent Hub: San Francisco, NYC, Seattle, Miami, or DC.
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.
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Key skills/competency
- Data Science
- Machine Learning
- Python
- SQL
- Data Analysis
- Cloud Computing
- Data Storytelling
- Algorithm Development
- Fraud Prevention
- Identity Verification
Skills & topics
- Data Scientist
- Client Analysis
- Machine Learning
- Python
- SQL
- Data Analysis
- Cloud Computing
- Data Storytelling
- Fraud Prevention
- Identity Verification
- AWS
- Databricks
- Spark
- Socure
How to get hired
- Tailor your resume: Highlight data science, ML, Python, SQL, and cloud experience relevant to Socure's needs.
- Showcase data storytelling: Emphasize your ability to communicate complex findings to non-technical audiences.
- Demonstrate impact: Quantify your achievements in previous roles, especially in fraud prevention or identity verification.
- Prepare for technical interviews: Be ready to discuss your experience with large datasets, ML algorithms, and Python coding.
- Understand Socure's mission: Research identity verification and fraud prevention to align your application with their goals.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the compensation range for the Data Scientist II - Client Analysis role at Socure?
- The compensation range for the Data Scientist II - Client Analysis position at Socure is between $130,000 and $150,000 annually, plus a generous incentive bonus opportunity.
- What are the required qualifications for the Data Scientist II - Client Analysis role at Socure?
- To be considered for the Data Scientist II - Client Analysis role at Socure, you need a degree in a quantitative field or equivalent experience, 3+ years in data science/analysis, a strong understanding of ML methods, proficiency in Python and SQL, experience with large datasets and cloud tools, and excellent communication skills.
- Does Socure offer sponsorship for the Data Scientist II - Client Analysis position?
- No, Socure cannot provide sponsorship for the Data Scientist II - Client Analysis role now or in the future.
- What are the eligible locations for the Data Scientist II - Client Analysis job at Socure?
- Applicants for the Data Scientist II - Client Analysis role must be based out of a Socure Talent Hub, which includes San Francisco, NYC, Seattle, Miami, or DC.
- What is the work arrangement for the Data Scientist II - Client Analysis position?
- The Data Scientist II - Client Analysis role is a remote position within specified Socure Talent Hub locations. Candidates should thrive in a remote startup work environment.
- What technologies will I use as a Data Scientist on the Client Analysis team at Socure?
- As a Data Scientist on the Client Analysis team at Socure, you will extensively use the Python ecosystem (Pyspark, Pandas, Numpy, H2O, SHAP, Seaborn, Jupyter), Databricks, Airflow, Redshift, Snowflake, S3, Apache Spark, Apache Arrow, Amazon EMR, Looker, and Tableau.
- What is the primary focus of the Data Scientist II - Client Analysis role at Socure?
- The primary focus of the Data Scientist II - Client Analysis role at Socure is to leverage data analysis and ML to generate insights, create data stories, and partner with the go-to-market team to drive revenue by demonstrating the value of Socure's products to customers.
- Is experience in identity verification or fraud prevention required for the Data Scientist II - Client Analysis role?
- While not strictly required, experience in identity verification and fraud prevention is strongly preferred for the Data Scientist II - Client Analysis role at Socure.