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Data Scientist

3.00 to 5.00 Years   Bangalore   21 Jun, 2021
SAMNIYA AVIONICS TECHSYS PRIVATE LIMITED
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing,Statistics / Analytics
EmploymentTypeFull-time

Job Description

Data ScientistExperience: 3-5 yearsLocation: BangaloreLooking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.Job Responsibilities:

  • Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions
  • Fast learner: ability to learn and pick up a new language/tool/ platform quickly
  • Conceptualize, design, and deliver high-quality solutions and insightful analysis
  • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems
  • Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes
  • Ability to deliver AIML based solutions around a host of domains and problems, with some of them being: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Experience Required:
  • Experience in Machine Learning domain
  • Expert level proficiency in at least one of R and Python
  • Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms
  • Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance

Keyskills :
commercial modelspythonrequirements gatheringmarketing mixbusinessrecommender systemscustomer segmentationoptimization strategiesmachine learningedadesignbusiness solutionsdata sciencelifetime valueresearchprice optimizationdata gathe

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