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Job Description:
Responsibilities
Data mining or extracting usable data from valuable data sources.
Using machine learning tools to select features, and create and optimize classifiers.
Carrying out preprocessing of structured and unstructured data.
Enhancing data collection procedures to include all relevant information for developing analytic systems.
Processing, cleansing, and validating the integrity of data to be used for analysis.
Analyzing large amounts of information to find patterns and solutions.
Developing prediction systems and machine learning algorithms.
Presenting results in a clear manner.
Propose solutions and strategies to tackle business challenges.
Collaborate with Business and IT teams.
Data Scientist Skills.
Requirements
Programming Skills - knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, and Pig are desirable. Familiarity with Scala, Java, or C++ is an added advantage.
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.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
Data Wrangling - proficiency in handling imperfections in data is an important aspect of a data scientist job description.
Experience with Data Visualization Tools like AWS Quicksight, and Tableau that helps to visually encode data.
Excellent Communication Skills - it is incredibly important to describe findings to a technical and non-technical audience.
Strong Software Engineering Background.
Hands-on experience with data science tools.
Problem-solving aptitude.
Analytical mind and great business sense.
A degree in Computer Science, Engineering, or a relevant field is preferred.
Proven Experience as Data Scientist.
About Company:
