Data Scientist - Machine Learning/Python (1-3 yrs) Bangalore (Analytics & Data Science)
2d ago
source :

Your Role & Responsibilities :

  • Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems
  • Research, experiment, and innovate ML / statistical approaches in various application areas of interest and contribute to IP
  • Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training / evaluation / monitoring)
  • Deploy, maintain, and debug ML / decision models in production environment
  • Analyze and assess data to ensure high data quality and correctness of downstream processes
  • Communicate results to stakeholders and present data / insights to participate in and drive decision making
  • Desired Skills & Experiences :

  • Bachelors or Masters in a quantitative field from a top tier college
  • 1-2 years experience in a data science / analytics role in a technology / analytics company
  • Solid mathematical background (especially in linear algebra & probability theory)
  • Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.
  • statistical tests / metrics, experiment design, and evaluation methodologies

  • Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance
  • Hands-on experience in at least one of the following : (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization
  • Good programming skills (fluent in Java / Python / SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems
  • Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time)
  • Excellent written and verbal communication skills for both technical and non-technical audiences
  • Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems
  • Nice to have) Research experience and publications in top ML / Data science conferences
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