Data Scientist Job in Costrategix Ltd.

Data Scientist

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Job Summary

Job Description Data Scientist

3-5 years experience

Roles & Responsibilities:

  • Ability to understand a problem statement and implement solutions & techniques for solving natural language processing, text analytics, and information extraction problems, as well as structured data problems.
  • Work and collaborate with other teams to deliver and create value for clients
  • Fast learner: ability to learn and pick up a new language/tool/ platform quickly
  • Conceptualize, design and deliver high-quality solutions and insightful analysis
  • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.
  • Come up with actionable ideas to solve problems and implement those ideas.
  • Communicate context, data, solution and implications to the team, senior leaders and stakeholders.
  • Skills:

  • Intermediate to expert level proficiency in at least one of Python and R
  • Ability to discover effective solutions to complex problems. Strong skills in data-structures and algorithms.
  • Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations
  • Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
  • Intermediate to advanced knowledge of regular expressions, machine learning, probability theory, information theory, statistics, and algorithms. Discuss and use various algorithms and approaches on a daily basis.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
  • Qualifications & Experience :

  • Bachelor's or Master's degree in engineering.
  • Good knowledge of Basic Statistics (Hypothesis testing, probability, distributions, etc.)
  • Exposure towards multivariate statistical Analysis (such as PCA, PLS, etc.).
  • Strong in Machine learning and supervised Learning techniques such as ANN, Decision Trees, SVM, Na ve Bayes etc.
  • Knowledge on Unsupervised learning techniques such as k-means, hierarchical clustering etc.
  • Experience Required :

    Fresher

    Vacancy :

    2 - 4 Hires

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