Kobie Properties Limited - Saint Petersburg, FL

posted 5 days ago

Full-time - Mid Level
Hybrid - Saint Petersburg, FL

About the position

As a Senior Data Scientist at Kobie, you will be integral to analyzing complex datasets to derive insights that enhance customer loyalty programs. This role involves collaboration with cross-functional teams to design and optimize data models, generate predictive insights, and contribute to the strategic growth of our clients. You will work with a massive dataset, directly impacting how Kobie delivers value to its clients through innovative analytics.

Responsibilities

  • Analyze complex datasets to extract insights that enhance customer loyalty programs.
  • Collaborate with cross-functional teams to design and optimize data models.
  • Generate predictive insights to contribute to the strategic growth of clients.
  • Develop churn models and chatbots to improve customer engagement strategies.
  • Apply machine learning frameworks to enhance data-driven decision-making.

Requirements

  • Bachelor's or master's degree in data science, Statistics, Computer Science, Mathematics, or a related field.
  • 5-6 years of experience in data science, preferably within loyalty marketing or customer analytics.
  • Proficiency in Python, R, SQL, and experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong statistical analysis skills and experience with predictive modeling, clustering, and segmentation techniques.
  • Familiarity with data warehousing, ETL processes, and cloud platforms (AWS, GCP, Azure).
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication skills, with the ability to explain complex concepts to non-technical audiences.

Nice-to-haves

  • Experience working with customer loyalty programs or CRM systems.
  • Knowledge of A/B testing and experiment design.
  • Experience with big data technologies like Spark, Hadoop, or Snowflake.
  • NoSQL LLM building and deployment.

Benefits

  • Robust health insurance and benefits options.
  • Free fitness programs like FitOn.
  • Generous vacation time.
  • Competitive pay with 401k matching.
  • Annual profit sharing and bonuses.
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