Executive – Data Science – IT

Purpose of the role

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

Key Responsibilities and Tasks

• Data mining or extracting usable data from valuable data sources.
• Using machine learning tools to select features, create and optimize classifiers Carrying out pre processing 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, Data visualisation using PowerBI, Tableau, Qlik
  View, Jasper, SSRS.
• Propose solutions and strategies to tackle business challenges.
• Collaborate with Business and IT teams.

Technical Skill

• 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, ggplot, d3.js., Tableau that
  help to visually encode data
• Excellent Communication Skills – it is incredibly important to describe findings to a
  technical and non-technical audience.

Educational Qualifications and experience

Minimum: Degree in Computer Science, Engineering or relevant field is preferred
Experience: 3+ years (Proven Experience as Data Analyst or Data Scientist)
Certification: Yes

Job Description