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Search Advisers Services ( GUJ ) Pvt. Ltd. | is Hiring | Head Data Science | BigDataKB.com | 2022-04-05

Job Location: Bangalore/Bengaluru

Roles and Responsibilities

  • We are looking for a passionate ML /AI Lead Data Scientist with proven ability to lead the development of analytics-focused products and utilizing cutting edge machine learning, natural language processing, and mathematical techniques to drive powerful business results.
  • You will have the opportunity to work with a wide range of stakeholders and functional teams to help them discover insights hidden in data sets and enable stakeholders to improve business.
  • AI ethics, fairness and secure development practices are also our focus areas
  • Partners with lines of business to understand business problems and conceptualize the AI enabled solutions.
  • Create a high performing team of machine learning and data science researchers.
  • Be responsible of successful delivery and productization of AI enabled solutions.
  • Coordinate with business teams to monitor outcomes and refine/ improve the machine learning models.
  • Conduct quick POC and idea evaluation.
  • Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem
  • Mentor and guide data science team in choosing the right machine learning approach.
  • Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Analytics. E.g. Evaluate application of Graph Technology for detecting insurance fraud.
  • Evaluate vendors and commercial solution to support build vs buy decision.
  • Write White Papers to evangelize ideas and drive adoption with the broader enterprise.
  • Publish Research Papers in international journals and file patents for intellectual property.
  • Present in leading conferences to showcase expertise and solutions.

Desired Candidate Profile

  • You should have Bachelors or Masters degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field. Specialization in DS is preferred.
  • You should have 15+ years of software development experience including 8+ in data science in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory.
  • Should have prior experience of managing a AI team.
  • Strong theoretical and practical knowledge of some or most econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.
  • Strong theoretical and practical knowledge of some or most Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc.
  • Should have demonstrated hands on experience in solving real-world problems using Natural Language Processing and / or Computer Vision.
  • Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc.
  • Fluency in programming skills such as Python, R, or other equivalent languages
  • Possess good presentation skills; ability to organize and present information to audiences with disparate levels of technical understanding.
  • Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus
  • Experience in data visualization software such as Tableau, ELK, etc. is a plus
  • Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems

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Perks and Benefits

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