Job Location: Mumbai
Experience – At least 4 years commercial advanced analytics experience across at least one of the following disciplines: retail (shopping mall brands), financial services (neo banks or e-commerce), consumer loyalty, travel & hospitality
Purpose of the job:
Job title-Lead Data Scientist
– Lead (end-to-end) deliveries of advanced analytics initiatives
– Support the drive for adoption of advanced analytics proposition across APAC
– Contribute to roadmap of innovative items within advanced analytics space
– Identify valuable consumer behaviour patterns and insights that may hide potential opportunities for commercial decisions
– Map consumer needs to existing data proposition products and features and help sell/implement them
– Proactively identify opportunities for upsell of advanced analytics to existing clients
– Research and develop latest advanced analytics concepts; enhance existing solutions
– Write scope of work document for new projects and control scope throughout implementation
Example Day to Day Activities include :
– Working on all stages of projects (planning, development, quality control, production)
– Design, build and ongoing maintenance of our strategic platform and tooling
– Converting proof-of-concept projects to enterprise solutions
– Exploring customer, transactional, pricing, text-based data
– Producing machine learning models including supervised and unsupervised methods
– Producing reports and presentations to communicate findings to stakeholders
– Prototyping proof-of-concept idea
– Assisting with managing our infrastructure in AWS
– Architecting and executing solutions
Knowledge, skills and experience:
Knowledge :
– Knowledge of common data science techniques including data preparation, exploration and visualisation
– Knowledge of data mining techniques in one or more areas of statistical modelling methods, time series, text mining, optimisation and information retrieval
– Ability to produce workflows using classification, clustering, regression, and dimensionality reduction
– Ability to prototype statistical analysis and modelling algorithms and apply these algorithms for data driven solutions to problems in new domains
Core Skills :
– Advanced Python and Pyspark
– Data science background
– Building both supervised and unsupervised machine learning models for advanced analytics products eg. customer segmentation/clustering, product or content recommendation engines, single customer view (Graph network), Churn analysis and fraud detection etc.
– Translating facts and figures from machine learning models into insightful data storytelling with use of Powerpoint and visualisation tool such as Tableau or Plotly
– Presenting complex concept in easy-to-understand ways to both tech and non-tech audiences; outstanding written and spoken English
– Hands-on exposure to conducting and documenting exploratory data analysis and feature engineering in a simple and structured way
– Understanding of the data technology landscape, how to apply this to business problems and identify the limitations
– SQL skills for deriving insights (MS SQL and Postgresql with case, count, group by, join etc.)
– Excellent data preparation skills, manipulation of large data sets, analysis and visualisation of results
– Data modelling skills; awareness of the appropriate application of de- normalisation, aggregation, warehousing and data lakes
Desirable Technical Skills :
– AWS: EC2, RDS, EMR, Kinesis, S3
– Cloud Providers: AWS (primary), GCP or Azure
– Visualization & UI: Tableau, Plotly,Python Flask, Zeppelin
– Apache : Atlas, Ranger, Knox, Nifi
Experience :
– At least 4 years commercial advanced analytics experience across at least one ofthe following disciplines: retail (shopping mall brands), financial services (neo banks or e- commerce), consumer loyalty, travel & hospitality
– Strong working knowledge on the mechanics of the underlying Machine Learning algorithms and ability to convey its characteristics to a non-tech audience
– Experience working with cloud platforms
– Experience building and deploying API
– Experience working with external vendors, remote teams in different time zones and agencies providing services for projects
– BSc degree (preferably Data Science or Computer Science)
Person Specification :
– Passionate about analysing, deriving insights and presenting them back to people
– A creative, innovative person that likes getting stuck in and is keen to learn and grow
– With strong character and presence – capable of handling and challenging tough and demanding clients and stakeholders in a respectful and productive manor
– Able to work at pace while working through frequently changing priorities and challenges in a collegiate way
– Always challenging ambiguity
– Always challenging status quo
– Collaborative and a strong team player with can-do attitude
– Able to operate independently in a proactive manner to generate ideas and draw them out of others
– Nimble, open-minded thinking, process advocate but committed to impact
– Thorough and attentive to detail
– Well planned and organised
Share the following details
– current ctc n notice period
– expected ctc
– Open to join in 30 days
– relevant experience in deliveries of advanced analytics initiatives
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