Head - Data Science - Fintech Startup

We have an urgent role with one of the Fintech Group (Startup) Operational in 6 countries based out of Delhi

About the group : Group is into Behavioural Intelligence that accelerates business growth for banks with the use of Artificial Intelligence (AI) and Machine Learning (ML). with presence in INDIA | SOUTH EAST ASIA | CENTRAL & EASTERN EUROPE | MIDDLE EAST | AFRICA etc.

Required - Min 7+ years of expertise working on and managing analytics/data science teams with consumer-facing companies (ideally in the eCommerce and/or subscription space).

- Fluency in R, Python, or Julia.

- Experience with relational databases / SQL.

- Experience using Dynamo, Cassandra, Hbase, or other non-relational DB.

- High skill in data visualization.

- General industry knowledge of how distributed database infrastructure has been the solution to handling some of the biggest data warehouses on the planet - i.e. the likes of Netflix, Google, Amazon, Facebook, LinkedIn, and Twitter.

- Solid understanding of the Data Scientist project lifecycle processes including : initiation, identification of data needs, methodology selection, proof of concept, release and version control, validation and experimentation, production releases, maintenance and iteration.

- Deep understanding how to extract data from homogeneous or heterogeneous data sources (ETL), and transform the data for storing it in the proper format or structure for the purposes of querying and analysis.

- Experience developing dashboards and key metrics to track the business and inform strategy.

Role : Head Data Science

CTC Range : upto 60 lacs

Head of Data Science to analyse massive sets of data, generate powerful insights, and create data products which directly inform daily decisions on growth, retention, revenue, merchandising, new categories, operational efficiencies, and consumer experiences.

The Data Science department apply quantitative analysis, data mining, and the presentation of data to guide and steer the team's efforts to convey key product trends and opportunities.

As a Head of DATA SCIENCE you will lead (and grow) the team to develop machine-learning algorithms to personalize user experience, product recommendations, and churn intervention.

Roles and Responsibilities :

- Set the vision, create a roadmap, and maintain (and invest) in infrastructure-team-process.

- Set the culture and mission to attract the best team possible. Continuously refine the set of priorities for a team of Data Scientists, Data Engineers and Analytics Managers.

- Oversee the development of the technology stack that will enable data exploration and analysis including: data architecture, tagging and operational processes, data taxonomy, and reporting.

- Work with all stakeholders (marketing, operations, merchandising, finance, product design, etc.) by gathering data from all business units, developing requirements, ascertaining priorities, and reporting progress.

- Build applications, both consumer-facing and internal, so that we can collect and analyse billions of real-time data points on our products, service, and customers and instantaneously optimize customer experience or resource utilization.

- Manage reports, create dashboards, and visualize data to communicate the delivery of information to stakeholders.

- Ensure all the three phases of ETL (extract, transform, load) execute in parallel and are managed seamlessly.

- Consider important KPIs and measurements including latency, concurrency, access pattern, queries, data scope, end users, and the technologies employed.

- Ability to both manage and recruit a team while still being hands-on.

Interested candidate can share cv mentioning current and expected package

Ved
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