Data Scientist

VOIS

Pune District, Bengaluru

Vor Ort

INR 900.000 - 1.400.000

Vollzeit

14 Tage+
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Zusammenfassung

VOIS is seeking a data analytics professional to build, test and deliver analytics and models using new data sets to underpin use cases, including data preparation, cleansing and SQL work, with No-SQL optimization and statistical modeling.

You will work closely with commercial teams to present actions based on model outcomes and contribute to defining customer-facing analytics for the product roadmap, lifecycle processes, and business information requests.

Qualifikationen

  • Experience with analysis and advanced analytics techniques (descriptive, predictive, optimization).
  • Comfort manipulating and analyzing complex, high-volume, high-dimensional data (preferably Hadoop/Spark).

Aufgaben

  • Build, test and deliver new analytics/models using new data sets to underpin use cases.
  • Data preparation, cleansing, SQL work; NoSQL optimization and implementing statistical models.
  • Play an effective role in decision making processes for business customers by developing different types of models (descriptive, predictive).
  • Work closely with commercial teams to present the recommended actions based on model outcomes.
  • Provide product management support to identify and define customer-facing analytics use cases for the product roadmap.
  • Support definition of the lifecycle process for analytics, enabling fast, low-cost development.
  • Participate in business analysis and document the specification of business information requests.

Kenntnisse

Data analytics
Statistical modeling

Tools

SQL
NoSQL
Hadoop
Spark

Jobbeschreibung

Key accountabilities and decision ownership

  • Build, test and deliver new analytics / models using the new data sets as required to underpin use case.
  • Data preparation, cleansing, SQL and

NO-SQL optimization and implementing statistical models

  • Play effective role in decision making

processes for business customers by developing different types of models (descriptive, predictive) on specific segments such as certain market segments, products, services, etc.

  • Working closely with commercial teams to present the recommended actions based on the outcome from the models/analytical results
  • Provide product management support to

identify and define customer facing analytics use cases for the product roadmap

  • Support definition of the lifecycle process for analytics, allowing for fast, low cost development
  • Participate in the business analysis and document the specification of business information requests.

Core competencies, knowledge and experience

  • Experience with different aspects of analysis and advanced analytics techniques (e.g. Descriptive, predictive, optimization)
  • Comfort manipulating and analyzing

complex, high-volume, high- dimensionality data preferably in Hadoop/Spark


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