Head - Data Sciences - Logistics Service Firm

Client :

Client is a Company promoted by the veterans of the Express Industry of India. It is one of the leading logistics service provider for eCommerce Industry.

The Company is found for catering to the dynamic needs of electronic commerce industry which is growing by leaps and bounds. There is no single Company currently equipped completely to cater to the needs of this fast growing industry which is seeing the changes every day.

Job Description :

Position : Head, Data Sciences

Expectation :

- One of the expectation from this person will be to build disruptive technology and be at the cutting edge of innovation. Hence problem may not be defined for him by the management, rather he might need to define the problem himself.

- One of the key requirements for the profiles would be to enhance the user experience through technology.

Role / KPIs :

Lead Clients efforts to identify & build future disruptive systems / technology through deep-data mining & high tech. For e.g

- Increase labor productivity through deep understanding of consumer data

- Increase PPC / hub productivity

- Reduce line-haul costs by dynamic optimization of trucks

- Dynamic pricing to customers basis shipment pattern

- Collaboratively work with Strategy & Planning, IT team to execute projects.

- Lead, develop and grow a team of Data Analysts and Data Engineers to ensure projects are delivered on time and to the highest standard

- Translating business needs to technical requirements and implementation

- Responsibilities include leading the team to focus on a variety of data analytics and modelling problems including but not limited to:

- Organize and analyse large, diverse data sets across multiple platforms

- Identify key insights and leverage them to inform and influence product strategy

- Proactively developing new analyses and insights, to drive decisions and strategies for marketing (customer lifetime modelling, user acquisition, retention, monetization, etc.) and game design.

- Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficient reporting on those requirements

- Designing and implementing advanced statistical testing for customized problem solving

- Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations

Desired Skills and Experience :

- 5+ years of industry experience in Business Analytics, data mining, machine learning, statistical analysis, and modelling

- Fluency in programming languages such as R, Matlab, Python, etc.

- Experience in working with large datasets and big data systems (SQL, Hadoop, Hive, etc.)

- Keen aptitude for large-scale data analysis with a passion for identifying key insights from data.

Education :

- M.Tech / PhD in Data Sciences, strong product orientation.

Sector : Google, Facebook, Microsoft, Big Data Analytics firms.

Expertise : Big Data Analytics, Digital, Mobile and Social Products and Technology, Machine Learning from large Datasets.