Data Scientist

Job description

Job Description

Data scientist is responsible for fetching information from various sources and using statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges.

Potential Roles and Responsibilities

Data mining or extracting usable data from valuable data sources

Carrying out preprocessing of structured and unstructured data

Processing, cleansing, and validating the integrity of data to be used for analysis

Using machine learning tools to select features, create and optimize classifiers

Developing prediction systems and machine learning algorithms

Presenting results in a clear manner

Collaborate with business and IT teams

Job requirements

Recommended Requirements

MS/BS 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, Decision Forests

Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist 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

Self-sufficiency in big data technologies, such as Map Reduce, Spark, Hive and familiar with NoSQL databases