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Data Scientist II - Client Analysis

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Socure

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

130000.00 - 150000.00 USD / Year
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Job Description:

We are currently looking for Data Scientist to join our Client Analysis team to be based anywhere 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 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.

Job Responsibility:

  • 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

Requirements:

  • Degree in a quantitative field or equivalent work experience (advanced degree preferred)
  • 3+ years working experience in data science, data analysis, or analytics engineering
  • Extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
  • 2+ years experience writing clean, performant code in Python and working with massive real-life datasets
  • Experience querying relational databases with SQL
  • Experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP
  • Ability to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations)
  • Ability to explain complex algorithms such as ML/AI models and analyses to non-technical audiences
  • Excellent verbal and written communicator, comfortable delivering presentations
  • Thrive in a remote startup work environment and excellent at setting clear goals and holding yourself accountable

Nice to have:

  • Experience in identity verification and fraud prevention (strongly preferred)
  • Experience with Python ecosystem (Pyspark, Pandas, Numpy, H2O, SHAP, Seaborn, Jupyter, etc)
  • Experience with Databricks, Airflow, Redshift, Snowflake, S3, Apache Spark, Apache Arrow, Amazon EMR, Looker, Tableau
What we offer:
  • Offers Equity
  • Offers Bonus
  • Total rewards package includes equity, benefits, and an annual bonus or a commission plan

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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