• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Carrying out the 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

Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is 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, 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 matplotlib , Tableau and must (Microsoft Power BI) that help to visually encode dataExcellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.Strong Software Engineering BackgroundHands-on experience with data science toolsProblem-solving aptitudeAnalytical mind and great business senseDegree in Computer Science, Engineering or relevant field is preferredProven Experience as Data Analyst or Data Scientist