Lead Data Scientist – M.Paani – Mumbai (3-5 years of experience)

deepak Last Updated : 17 Feb, 2015
2 min read

Designation – Lead Data Scientist

Location – Mumbai

About employer M.Paani

Job description:

Responsibilities

  • Build out the entire analytics and visualization suite to monitor and assess all aspects of our business
  • Use various machine learning strategies to model and forecast consumer dynamics as well as business performance indicators using both spatial and non-spatial data sources
  • Source, recruit, onboard and manage a world class data science team
  • Harness statistical, machine learning, and GIS methods to build decision support tools for everything from targeted marketing to site selection
  • Work with the Tech, Sales, Business Development, and Customer Service teams to establish a data collection and analysis pipeline that must scale gracefully to millions of users
  • Conceptualize and develop a consumer-grade analytics product and participate in pitching it to potential clients
  • Closely collaborate with tech team on full stack implementation, from back-end analytics to front-end dashboard creation
  • Determine high-level, strategic goals and subsequently establish and execute upon a data & analytics roadmap

Qualification and Skills Required

  • A Ph.D (preferably) or Masters in fields with a strong quantitative as well as geospatial focus such as GIS & Remote Sensing, Environmental Sciences, Econometrics, Computer Science, Applied Mathematics, and/or Engineering from a reputed University
  • At least 3-5 years of relevant work experience that included recruiting, building and managing a data science team
  • Extensive work experience with geospatial and time series data
  • Expertise in at least one statistical analysis tool such as R, MATLAB, Octave, IDL, Python (Stats Models, Pandas etc.) or some other statistical programming language
  • Expertise in at least one scripting language such as Python or Ruby
  • Knowledge of PostgreSQL or MySQL
  • Understanding and implementation of Big Data frameworks especially Hadoop
  • Previous work with cloud-based platforms such as AWS, Heroku, Google Compute Engine etc.
  • Knowledge of any GIS tool or platform: Arc GIS, Quantum GIS, ILWIS
  • Previous work with spatial databases such as Post GIS and Oracle Spatial
  • Strong know-how of at least one of the following: machine learning, spatio-temporal modelling, graphical models
  • Basic knowledge of web technologies and platforms including HTML/CSS, Javascript, AJAX, WebGL
  • Ability to communicate your findings and insights in a precise and actionable manner
  • Capacity to iterate and ship ideas quickly and cost-effectively
  • Desire to work in a small, goal-oriented, high-pressure, highly-rewarding environment with a focus on a socially motivated mission
  • No hesitation to communicate easily with others and ask questions
  • Solid understanding of web-based visualization libraries and frameworks: D3.js, Processing.js etc.
  • Previous work with web mapping and GIS frameworks such as Leaflet.js, MapBox, CartoDB, ArcGIS Online etc.
  • Previous work and implementation of spatial models and/or clustering such as crime mapping, geographical regression, interpolation etc.
  • Knowledge of NoSQL database technologies such as MongoDB, Accumulo
  • Previous work in a startup, especially a socially motivated one
  • Knowledge and passion for consumer marketing and loyalty programs especially for the mass markets
  • International education/work experience, and/or previous experience in working with multinational and multicultural teams
  • Familiarity with Indian data governance laws
  • Proficiency in Hindi and/or Marathi

Interested people can apply for this job can mail their CV to [email protected] with subject as Lead Data Scientist – M.Paani – Mumbai

If you want to stay updated on latest analytics jobs, follow our job postings on twitter or like our Careers in Analytics page on Facebook

Responses From Readers

Clear

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details