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BrigitBrigitNew York City, NY

Senior Data Scientist

Senior Data Scientist building, improving, and deploying ML models for credit risk, fraud detection, and transaction optimization at a consumer fintech company. Requires 5+ years data science experience, advanced degree, Python/SQL/ML expertise, and end-to-end model ownership from ideation to production A/B testing.

175k – 200k
Hybrid5+ YOEData Science

About the role

What you’ll be doing

  • Build, test, improve and roll out new models in a variety of problem spaces.
  • Analyze how our customer base is shifting as we grow and pinpoint areas we can improve.
  • Help our existing engineering and business teams achieve our cross-functional goals.

What you have

  • 5+ years of experience doing data science (modeling + analysis).
  • Advanced degree in data science, statistics, computer science, or related field.
  • Proven expertise in machine learning principles and techniques.
  • Experience in Python, using industry-standard modeling toolkits like sklearn, JupyterLab, pandas, matplotlib, statsmodels, etc.
  • Experience in writing complex SQL queries and the ability to put together multiple data sources.
  • Experience creating training data sets, training models, tuning hyperparameters, performing validation, running A/B tests in production, creating and owning performance and model monitoring.
  • Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models.
  • Ability to work effectively and communicate ideas/code clearly in a cross-functional team environment (Engineering, Product and Business teams).
  • Experience building end-to-end data science solutions to address business needs: from ideation to deployment & AB testing.
  • Strong written and verbal communication skills, with the ability to explain complex concepts to various audiences.

Who You Are

  • Passionate self-starter who is always looking for ways to optimize, test, and improve.
  • Ability to operate through ambiguity by asking questions and learning quickly.
  • Always willing to collaborate and help your colleagues to do their best work.
  • Passionate about making a difference in people's lives through your work.

Compensation

The anticipated annual base salary for this position is $175,000 - $200,000 with a 10% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Skills

PythonSQLMachine Learningscikit-learnpandasJupyterlabMatplotlibStatsmodelsA/B TestingClassification ModelsPrediction ModelsHyperparameter TuningModel Monitoring

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