Data Scientist

Headhunter

View: 106

Update day: 06-05-2024

Location: Pune Maharashtra

Category: R & D

Industry: IT Services & Consulting

Position: Data Analyst

Job type: Full Time, Permanent

Salary: ₹ 14,00,000 - 24,00,000 P.A.

Experience: 5 - 9 years

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Job content

  • The ideal candidate will come with hands-on experience as a Lead developer using Big Data technologies within the Banking and Financial services domain. This person will have a proven track record of implementing successful Big data solutions to business clients in financial services.

Requirements


  • 5-8 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 guidance.

Responsibilities


  • 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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Deadline: 20-06-2024

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