The company is looking for a Data Scientist to help build and deploy machine learning models to improve customer engagement and retention.
Requirements
- Proficiency in Python and relevant data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and database management.
- Strong understanding of machine learning algorithms and statistical modeling.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
Responsibilities
- Design, develop, and implement machine learning models for customer segmentation, churn prediction, and recommendation systems.
- Perform data cleaning, feature engineering, and exploratory data analysis on large datasets.
- Collaborate with engineering teams to integrate models into production systems.
- Monitor and evaluate model performance, iterating and improving as needed.
- Stay up-to-date with the latest advancements in machine learning and data science.
- Communicate findings and insights to both technical and non-technical stakeholders.
Other
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- Excellent problem-solving and analytical skills.
- Strong communication and presentation skills.
- Ability to work independently and as part of a team.
