We are looking for a talented Mid/Senior Data Scientist to join our data team. The ideal candidate is highly skilled in statistical modeling, machine learning, and predictive analytics, with a strong focus on client lifetime value, behavioral modeling, and retention strategies. You will work closely with product, marketing, and engineering teams to deliver impactful data-driven solutions.
Required Skills & Experience:
- 3+ years (Mid-level) / 5+ years (Senior-level) experience in Data Science or a related field.
- Proven expertise in customer lifetime value modeling, behavior analysis, and retention strategies.
- Strong experience with Amazon SageMaker and cloud-based machine learning solutions.
- Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R.
- Hands-on experience in SQL, data wrangling, and feature engineering.
- Solid knowledge of statistical modeling, A/B testing, and predictive analytics.
- Experience working with telco, gaming, or rewards & loyalty data is a plus.
- Strong analytical and problem-solving skills, with the ability to translate business challenges into data solutions.
Nice-to-Have Skills:
- Experience with Big Data tools (Spark, Hadoop, Databricks).
- Familiarity with Reinforcement Learning or Deep Learning for personalization.
- Exposure to Graph Analytics and Network Science for customer behavior insights
- Knowledge of ETL pipelines and data engineering best practices.
Key Responsibilities:
- Develop and implement predictive models to enhance customer retention, engagement, and lifetime value.
- Design and optimize machine learning models using Amazon SageMaker and other cloud-based ML tools.
- Analyze customer behavior patterns to drive insights for rewards, loyalty, and gaming engagement.
- Build data-driven frameworks for segmenting and personalizing customer interactions.
- Work with large datasets from telecom and gaming platforms to uncover actionable insights.
- Collaborate with cross-functional teams to integrate data science solutions into business operations.
- Continuously explore and implement cutting-edge machine learning techniques to improve model performance.
Desired Skills:
- Data Scientist
- Amazon Sage Maker
- AWS
Desired Qualification Level:
- Degree
About The Employer: