Requirements
● Master's degree in Computer Science, Statistics, or similar fields.
● Programming skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL.
● Statistics – good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
● Machine learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests.
● Data wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist's job description.
● Excellent communication skills – ability to describe findings to a technical and non-technical audience.
● Ability to independently research, implement, test, and deploy data science and machine learning technologies.
● Problem-solving aptitude.
● Excellent communication and collaboration skills – experience in writing and presenting comprehensive narratives on opportunities, objectives, goals, and delivery plans to customers and stakeholders.
● Self-sufficiency in big data technologies, such as Map Reduce, Spark, and Hive, and familiar with NoSQL databases.
