Careers

Job Description

Data Scientist

Data Scientist will be responsible for applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses.

Responsibilities:
  • 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
  • Propose solutions and strategies to tackle business challenges.
  • Collaborate with Business and IT teams
Basic Qualifications:
  • Bachelor’s degree or higher in Computer Science, Computer Engineering, Information Technology or related field.
  • 5+ years of Relevant work experience required
  • 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

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