Data Scientist Lead

17 hours ago


Tampa, Florida, United States Symple Lending Full time
Job Title:

Data Scientist Lead

About the Company:

Symple Lending is an innovative fintech company that transforms the lending industry by empowering customers on their journey to financial freedom. Our commitment lies in providing seamless and efficient lending solutions to our customers.

Job Description:

This hybrid role is based in Tampa, Florida, and requires the candidate to be on-site part-time or willing to relocate. As a Data Scientist Lead, you will help optimize the company's Customer Acquisition Cost (CAC) by allocating a $1M+ per month marketing budget. You will use existing partnerships to select the target marketing audience on a weekly basis using machine learning (ML), feedback loops, and balanced heuristics.

Key Responsibilities:
  • Apply machine learning algorithms to solve business problems, such as predictive modeling, recommendation systems, or anomaly detection.
  • Collaborate to enhance data-driven decision-making through machine learning.
  • Deploy technical solutions within the cloud environment.
Requirements:
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role.
  • Experience in cloud infrastructure (e.g., AWS, Azure).
  • Strong SQL skills and experience working with relational databases.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Attention to detail and a commitment to data quality and accuracy.
  • Proficient in Python scripting for data analysis and automation.
  • Experience in deploying production-grade machine learning solutions through tools such as AWS Sagemaker.
Benefits:
  • Dental Insurance.
  • Competitive Salary: $120,000 - $180,000 per year.
  • Modern office setting.
  • Work-from-home days.
  • Growth opportunities.
  • Health insurance.
  • Vision insurance.
  • Paid time off.
  • A collaborative and innovative work environment.
  • Opportunities for professional growth and development.
  • Cutting-edge projects and exposure to the latest technologies.
  • Professional development assistance.

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