Job Description

• 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

Competencies

• Degree in Computer Science, Engineering or relevant field is preferred.
• Proven Experience as Data Analyst or Data Scientist
• 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.
• Excellent applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
• Excellent knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills – understanding the fundamentals of Multivariable Calculus and Linear Algebra.
• Data Wrangling – proficiency in handling imperfections in data.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau.
• Excellent Communication skills.
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business acumen.