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Data Scientist

6.00 to 0.00 Years   Bangalore   23 Nov, 2020
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software,Statistics / Analytics
EmploymentTypeFull-time

Job Description

You:You are a software engineer who is passionate about acquiring new technologies and strive for excellence to serve customers with high quality technical solutions. You enjoy the work you are doing; continuously innovate, advance ideas to build better software. You thrive in an agile, fast-paced and highly collaborate team environment.Us:We are a high-performing cross-functional team of developers, product managers, and designers. We are passionate about delivering elegant solutions to complex business problems and we have a proven track record of delivering successful applications that delight our customers.What we want you to do:

  • Acting as a thought partner to Campaign, Media, Web, Product, Go-To-Market and other teams
  • Collaborate with other Business Analytics teams and networks to utilize new sources of data, for the purpose of developing insights and applicability across markets
  • Translate business problems into a data and analytics plan and execute, through exploratory descriptive analysis, feature engineering and/or machine learning techniques
  • Leveraging machine learning and visualization to design tools that can explain customer composition changes or differences to enable actionable and timely insights
  • Use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structure and unstructured data
  • Perform deep dive analyses to understand and optimize the key levers of our growth ecosystems
  • Apply statistics, modeling and ML to improve the efficiency of systems and relevance algorithms across Growth Initiatives
Basic Qualifications:
  • Advanced degree in Statistics, Economics, Business, or related quantitative field
  • At least 6 years of excellent hands on experience developing advance predictive models to solve business problems
  • Experience programming in SQL, and R or Python
  • Experience in data visualization, preferably with Tableau
  • Expertise in working with structured data; apply methods, technologies and techniques that address data architecture, integration and governance of data.
  • Experience in database concepts, data modelling; data integration including design and architecture
  • Experience with one or more of the following Machine Learning frameworks: TensorFlow, Scikit-Learn, or AWS Sage Maker
  • Expert ability in Univariate/Multivariate Statistics, Bayesian Statistics, or Simulation Modeling
  • Stakeholder management skills and championing a data-driven culture
Preferred Qualifications:
  • Understanding of media and the statistical algorithms typically used in marketing analytics.
  • Experience working in industries such as healthcare, retail, financial services, telecommunications and automotive (including in a client-facing consulting or advisory capacity)
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Keyskills :
machine learningpythondata analysissqlanalyticsdata miningdata modelingdata integrationmanagement skillsdata architecturecommercial modelsfinancial servicesbusiness analytics

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