IT Application Program jobs-Data Scientist vacancy - Below are the full details about this vacancy

Data Scientist

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: Not Specified
: Bangalore
Job Type
: Permanent (FullTime)
Date Posted
: 15-Sep-2017
Reference Number
: W001
  • Arnold Consulting Pvt. Ltd

  • Landline: N/A
  • Website:
  • Contact Person: Swathi Shetty
  • Email:
  • Contact number: 9036077823

Roles and responsibilities for Data Scientist


  • Play a leading role to solve complex problems, pivotal to business and drive actionable insights from petabytes of data.
  • Analyze large, complex data sets by developing advanced statistical and machine learning models based on business initiatives
  • Utilize big data analytics and advanced data mining techniques to direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
  • Build and train scalable models using best practices, enabling re-use for future project
  • Utilize product mindset to build, scale and deploy holistic analytical products after successful prototyping.
  • Lead data analytics project teams by serving as the technical lead for project
  • Partner with product management to assess customer needs and define business questions.
  • Clearly articulate and present recommendations to business partners, and influence future plans based on insights.
  • Partner and engage with associates in other regions for delivering best services to the customers around the globe.
  • Mentor peers and analysts across the division in analytical best practices.
  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. 

Job Details

Job Role
: Tech Architect
Industry Sector
: IT-Software/Software Services

Desired Profile

Profile Description
  • Bachelor's with > 12 years of relevant experience OR Masters with > 10 years of relevant experience OR PHD in Statistics/Mathematics with 6 years experience
  • Experience in analyzing complex problems and translate it into analytical approach
  • Experience in Statistical Learning: - Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
  • Experience in Machine Learning, supervised and unsupervised: - Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms
  • Lead role mentoring junior statistical analysts on approach and results.
  • Experience with big data analytics and advanced data mining techniques to analyze data
  • Experience with identifying trends, patterns, and outliers in data
  • Experience with statistical programming languages, analytical packages/libraries (R, Python)
  • Experience with statistical tools (R studio, Revolution R, Python notebooks)
  • Experience with SQL and relational databases, data warehouse platforms (Teradata), NoSQL databases
  • Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL)/Spark/H2O 
: 10 - 13 (Years)

Education Details

UG Course
: Any
UG Specialization
: N/A
PG Course
: Any
PG Specialization
: N/A

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