Data Scientist - R/Python/SAS (5-10 yrs) Mumbai/Pune (Analytics & Data Science)
My Hiring Key Services
2d ago
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Ideal Candidate

  • The ideal candidate will come with hands-on experience as a Data Scientist having a Data-oriented personality with a good scripting and programming skills.
  • He / she should have hands-on expertise on data science toolkits, specifically in using R for statistical modeling and machine learning.

  • Hands-on expertise and exposure in R packages, Shiny for interactive Web applications & machine learning algorithms, model building, statistical modelling, predictive modelling environments.
  • This person will have a proven track record of delivering successful technology solutions to business clients preferably in financial services.

    Requirements :

  • 5-10 years of experience in R (preference), Python, or SAS for complex data manipulation, statistical analysis, and machine learning.
  • Experience with Forecasting, Time Series Analysis, statistical modeling, etc.
  • Experience translating high-level project requirements into technical tasks.
  • Data manipulation and data engineering experience involving structured and unstructured data.
  • Data manipulation expertise involving data extractions, data matching between multiple systems, transformations, cleansing, and loading.
  • Proficient in using Shiny to build interactive web apps straight using R.
  • Experience with big data and cloud platforms especially GCP.
  • Experience in developing predictive, prescriptive, optimization, and forecasting models.
  • Experience in interpreting results from statistical and mathematical models.
  • Experience in advance data visualizations and interpretation.
  • Experience with data visualization tools (e.g., Tableau, Bokeh, D3) or elastic stack (Kibana).
  • Experience with modern machine learning libraries, including Keras, TensorFlow, PyTorch, MXNet.
  • Natural Language Processing (NLP) experience a plus.
  • Collaborative and decisive with strong communication and interpersonal abilities.
  • Expertise in working with large and complex datasets to create dashboards and data visualizations
  • Strong analytics background : Hands on experiences in statistical modeling (e.g. regression model, test and control etc.), machine learning, etc.
  • Multitasker : Good project management and communication skills that can work multiple projects at same time using minimum Understand business requirements to translate business problems into analytics problems and construct analysis road-map based on the business context
  • Manage large volumes of structured and unstructured data, extract & clean data to make it amenable for analysis
  • Analyse big data using statistics, econometrics, mathematics, operations research, and text mining techniques
  • Develop good visualization to communicate business insights from analysis and make actionable recommendations
  • Help deploy analytics solutions and enable tracking of business outcomes to measure return on investment
  • Keep up with cutting edge analytics techniques and tools in the continuously evolving area of decision science
  • Present / Advise / Interpret / Justify on analytics solutions from a project to Client / Internal Stakeholder
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