Job Description : Global MNC based IT/ Software company Requires Lead Data Scientist- WFH ( Mumbai)
One of our client a leading IT consulting MNC and technology firm Which define success as achieving exceptional results that have a lasting impact on businesses of our clients. Our clients choose us because we partner with them to share their risks and headaches on day to day operations. It is building a Revolutionize the Digitization and Rationalization of Complex Unstructured Data and Events, that are Critical to Client businesses as Fin-Tech disruption along with Partner.
Job Description:
Key Responsibilities:
• 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 an 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 of the 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 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 organized
contact : Abhinav- 9548238406
Kindly confirm
– Your current ctc & notice period
– Expected ctc
Work Experience Required : 4-8yrs
CTC offered : 8- 15Lacs PA
Job Location(s): Mumbai
Source link
