Delhivery

Position : Data Scientist

Responsibility

  • Collaborate with cross-functional teams including but not limited to Engineering, Products, Operations, Sales, Marketing, Security, Customer Service, etc. to breakdown complex business problems and recommend data science products.
  • Use advanced statistics and machine learning on large scale multidimensional data and generate actionable insights that will be leveraged to drive operations and develop strategies for Delhivery.
  • Use machine learning and analytical techniques to create scalable solutions for business problems.
  • Contribute to the development/ deployment of machine learning algorithms.
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
  • Disseminate original research in peer reviewed journals and conferences.

Qualifications

  • Degree (B.Tech, MS, PhD or equivalent) in Computer Science, Mathematics, Operational Research, Statistics or Natural Sciences
  • 1-7 years of work experience in data science and statistical modeling for DS, 3+ for Sr. DS
  • A very clear understanding of probability and statistics, analytical approach to problem solving, and capability to think critically on a diverse array of problems
  • Supervised Machine Learning Algorithms: Logistic Regression, Bayesian Approach, Decision Trees, Support Vector Machines. Neural Networks, Ensemble Methods, Feature selection techniques etc
  • Understanding of advanced algorithms (i.e. Deep Learning, Probabilistic Graph Models) will be good to have
  • Familiarity with statistical methods such as hypothesis testing, forecasting, time series analysis, etc – gained through work experience or graduate level education
  • Expertise in at least one of the following languages: Python, Java, C++
  • Experience with relational databases NoSQL databases such as MongoDB, Elastic Search, Redis or any graph database
  • Experience in handling geospatial data such as PostGIS will be appreciated
  • Skilled at data visualization and presentation
  • Good communication skills with both technical and business people
  • Experience with big data tools like Spark, Hadoop is a plus
  • Publications in peer-reviewed journals will count in your favour
  • Most importantly, an inquisitive mind, an ability for self learning and abstraction along with a risk appetite for experimentation and failure
  • Seniority level

    Associate

  • Employment type

    Full-time

  • Job function

    Engineering Information Technology

  • Industries

    Logistics and Supply Chain

Apply Now

 

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