Data Scientist

We are seeking a highly skilled and motivated Data Scientist (Feature Engineering) to join our growing team. In this role, you will play a crucial part in developing and optimizing our data processing pipeline. You will be responsible for converting existing Python-based data parsing and feature engineering code to be compatible with GPU acceleration and Apache Spark for large-scale data processing. Responsibilities:

• Analyze and understand existing Python code for data parsing and feature engineering.
• Refactor and optimize the code to leverage GPU acceleration using libraries like CUDA or Numba.
• Convert the code to be compatible with Apache Spark, enabling distributed processing on a cluster.
• Develop and implement efficient feature engineering techniques for various data types (e.g., text, numerical, categorical).
• Ensure the scalability, performance, and reliability of the data processing pipeline.
• Collaborate with other data scientists and engineers to integrate the pipeline into our machine learning workflows.
• Stay up-to-date with the latest advancements in data science, feature engineering, and distributed computing.

• Overall work experience between 1-4 years
• Strong programming skills in Python, with experience in data science libraries (NumPy, Pandas, Scikit-learn).
• Proven experience in feature engineering, including feature extraction, transformation, and selection.
• Hands-on experience with GPU programming (CUDA, Numba, or similar).
• Solid understanding of Spark / Dask and its ecosystem (Spark DataFrames, Spark SQL).
• Experience with data parsing and handling different data formats.
• Passion for problem-solving through code: You should enjoy the challenge of breaking down complex problems into smaller, manageable pieces and finding creative solutions.
• Ability to write structured and reusable code: You should write code that is clean, well-documented, and easy to maintain.
• Fluency in database-related operations: You should have a good understanding of SQL and be familiar with working with databases like MySQL, PostgreSQL, or NoSQL databases.

• Familiarity with cloud computing platforms (AWS, GCP, Azure).
• Knowledge of DevOps practices (Git, testing, CI/CD).
• Experience in Lending Industry.