Required Skills

machine learning deep learning python

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 28th Apr 2022


  • At least 6+ years of professional experience in implementing Analytics for business decision support. Experience in implementing statistical/machine learning models like regression (linear, non-linear, mixed models and Bayesian models), classification and unsupervised models i.e., K-Means clustering and Hierarchical clustering in solving key business problems and delivered measurable impact. Clear understanding of statistical concepts and understanding of the underlying assumptions of the models
  • Good hands on experience in Python/R, SQL, visualization tools (PowerBI or Tableau), MS Excel, MS-power point (for delivering insights and results)
  • Collaborating with engineering teams to develop prototypes and software products that can be deployed across varied environments (e.g., cloud, on-premises, devices, etc.)
  • Implementation experience in at least two topics A. Deep learning concepts (NLP or CV), B. Cognitive cloud APIs from AWS/Azure, C. Docker and D. MLOPs is preferred
  • Experience in business analytics in pharmaceutical/CPG Company or KPO.
  • Ability to handle various data sources (format – structured and unstructured; volume – sparse and large), using data modeling to develop reporting capabilities and valuable insights across these data sources is key.
  • Provide increased focus on analytics and emphasize on providing valuable insights to drive improvement opportunities
  • Automate data preparation via data pipelines and insights/report creation where possible
  • Ability to comprehend business needs, convert them into BRD & TRD (Business/Technical requirement document), develop implementation roadmap and execute on time
  • Effectively respond to requests for ad hoc analyses.
  • Good verbal and written communication skills
  • Ownership of tasks assigned without supervisory follow-up
  • Proactive planner and can work independently to manage own responsibilities
  • Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations


Minimum qualifications

  • Master’s or bachelor’s in engineering - BE/B- Tech, BCA, MCA, BSc/MSc
  • Master’s in science or related


Company Information