Socure
Data Scientist II, Client Analysis
Hub - New York · Mid
Sponsorship not specifiedDetected 36 days ago
PythonAlgorithmsGitSQLSnowflakeRedshiftDatabricksAWSGCPAzureMachine LearningPandasNumPySparkAirflowData AnalysisData EngineeringData ScienceData VisualizationNLPLLMsSalesEHR/EMRLeadership
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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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.
- 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.
Responsibilities
- 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
- 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.
- If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
Requirements
- You have 2+ years experience in data science, data analysis, or analytics engineering
- 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 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
- An ideal candidate will have experience with several of the technologies below and be excited to learn the rest.
- You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
- You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations)
- You thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountable
Nice to have
- You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
- You have experience in identity verification and fraud prevention (strongly preferred)
Compensation
- 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.
Company info
- 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.
- 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
- The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
This listing is sourced directly from Socure's careers page and normalized into a canonical job model.