Data Scientist

Looking to hire a talented Data Scientist. The ideal candidate's favorite words are learning, data, scale, and agility.

Responsibilities:

• Process and analyze large datasets to identify patterns and uncover opportunities.
• Contribute to actionable solutions using machine learning frameworks.
• Build machine learning and data processing pipelines.
• Perform statistical analysis and fine-tune models based on test results.
• Develop and maintain high-quality code aligned with best practices.

Qualifications:

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• Over 6 years of experience working with PL/SQL and RDBMS, especially SQL Server.
• Solid understanding of ETL patterns and processes.
• Over 6 years of experience with machine learning frameworks such as Keras or PyTorch and libraries like scikit-learn.
• Over 6 years of experience in Python programming, including proficiency with the Pandas library.
• Strong knowledge of machine learning concepts and techniques, including supervised and unsupervised learning, time-series forecasting, and recommender systems.
• Proficient in mathematics, probability, statistics, and algorithms.
• Familiarity with sequence models in deep learning, such as LSTMs and Transformers.
• In-depth understanding and hands-on experience with ML Ops and end-to-end deployment of AI/ML solutions.
• Experience with Big Data ecosystems and distributed storage (preferred).
• Strong analytical skills, particularly in working with unstructured datasets.
• Expertise in model implementation, data structures, data manipulation, distributed processing, application development, and automation.