Role Overview
We are looking for a skilled Data Scientist who can analyze complex datasets, develop predictive and optimization models, and support data-driven decision-making across the organization. The ideal candidate has a strong background in statistics, machine learning, and hands-on data analytics, and can collaborate effectively with data engineering and product teams.
Responsibilities
- Analyze and process data to generate meaningful insights for business teams
- Design, develop, and deploy machine learning models
- Build, evaluate, and maintain predictive and optimization models
- Collaborate closely with Data Engineering and Product teams
- Write efficient and optimized SQL queries for data analysis
- Monitor, troubleshoot, and improve existing models
- Document methodologies, experiments, and results
Required Skills
- Strong command of **statistics and probability**
- Solid understanding and hands-on experience with machine learning algorithms, including:
XGBoost
Random Forest
Logistic Regression and other standard models
- Proficiency in SQL (query writing, optimization, data manipulation)
- Strong Python skills, especially with libraries such as:
NumPy, Pandas, Scikit-learn
- Familiarity with data engineering concepts*and ability to work with data pipelines
Nice-to-Have Skills
- Experience with Learning to Rank methods
- Experience with pricing models or pricing-related projects
- Familiarity with Big Data tools such as Spark or Hive
- Experience building or maintaining data pipelines