Data Scientist - Python/R Programming (5-9 yrs) Pune (Analytics & Data Science)
SKS Enterprises
9h ago
source :

Apply only if you can join in 15 Days

About the Company :

They are a Niche System Integration Startup Company working with a team of passionate Data Scientists and Software engineers, which provide open Source Information platforms and create data science Solutions.

Our Data Science group is focused on solving large scale data Problems, finding hidden patterns in both structured and wide varieties of unstructured types of data.

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 tool kits, 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 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
  • Job Benefits :

    One of the best companies to work with.

    Report this job

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    My Email
    By clicking on "Continue", I give neuvoo consent to process my data and to send me email alerts, as detailed in neuvoo's Privacy Policy . I may withdraw my consent or unsubscribe at any time.
    Application form