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Data Scientist

Posted 2 months agoViewed

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💎 Seniority level: Senior, 3+ years

📍 Location: California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kentucky, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New Mexico, New York, North Carolina, South Carolina, Texas, Tennessee, Utah, Virginia, Washington

💸 Salary: 124000 - 198000 USD per year

🔍 Industry: Finance, specifically in lending and insurance

🏢 Company: Credible👥 251-500💰 Post-IPO Equity over 5 years agoCreditMarketplaceConsumer LendingFinancial ServicesFinance

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonSQLBusiness IntelligenceData MiningETLMachine LearningSnowflakeAlgorithmsData scienceCommunication SkillsAnalytical SkillsData visualization

Requirements:
  • BA/BS in Mathematics, Statistics, or Computer Science required; Master’s degree preferred.
  • 3+ years of experience in developing, testing, and deploying optimized predictive models.
  • Advanced statistical modeling skills (Python, R, etc.), SQL querying, data mining, and cleansing capabilities.
  • Deep knowledge of machine learning algorithms (supervised and unsupervised).
  • Advanced knowledge of experiment design and familiarity with MLOps tools.
  • Hands-on experience with cloud infrastructure tools (EC2, S3, Redshift, Snowflake).
  • Advanced visualization/reporting skills and version control experience (GitHub).
  • Excellent strategic project planning and communication skills.
  • Experience in e-commerce or fintech is a plus.
Responsibilities:
  • Drive the long-term statistical modeling and machine learning vision of the company.
  • Conduct analyses to develop and improve product recommendation and user classification systems.
  • Develop lead scoring models to predict Lifetime Value.
  • Design, prototype, and implement models across several domains, managing each project's lifecycle.
  • Partner with engineers to deploy data science models.
  • Collaborate with product and marketing managers and analysts to automate insights.
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