Requirements:
- Student of or graduated in B.Sc. in Computer Science, Mathematics, or other related fields
- Experience with data modeling tools and standards, ETL tools, and big data technologies (e.g., Hadoop, Spark, Pig, Kafka)
- Experienced in SQL and NoSQL databases (e.g. Postgres and Cassandra)
- Ability to write clean and maintainable code in an object-oriented language (e.g. Python, Java)
- Experience with building data pipelines in a professional setting
- Familiarity with analytics libraries (e.g. pandas, numpy, matplotlib)
- Interested in machine learning techniques and algorithms, such as KNN, Naive Bayes, SVM, Decision Forests, etc. is a plus
- Interested in software engineering concepts and best practices including DevOps, DataOps and MLOps is a plus
Responsibilities:
- Help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work
- Store and combine data from different sources
- Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
- Create and manage data environments and ensure information security standards are maintained at all times
- Understand clients data landscape and assess data quality
- Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models
تمام وقت
۱۴۰۰/۰۴/۲۷
(منقضیشده)
مشاهده آگهیهای استخدام مشابه