Senior Data Scientist (Algorithm)

Job description


  • Developing Prediction systems and Machine Learning algorithms
  • 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
  • Presenting results in a clear manner
  • Propose solutions and strategies to tackle business challenges
  • Collaborate with Business and IT teams


  • At least 7 years of proven experience from Financial industry or similar background
  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable
  • Familiarity with Scala, Java, 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.
  • Strong Software Engineering Background
  • Hands-on experience with data science tools
  • Problem-solving aptitude
  • Analytical mind and great business sense
  • Degree in Computer Science, Engineering or relevant field is preferred

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