Data Engineer
Bengaluru, Karnataka, in
5d ago
source : JobSearchine

Data Engineer

Location : Chennai / Bangalore

In this role, you have the opportunity to

Be a key player in the Supply Chain Data Analytics team. You are a data expert with serious analytical and statistical chops.

You know how to take massive amounts of data and find the insights supply chain teams need to improve and optimize the Supply Chain business.

You are responsible for

Evaluates supply chain concepts and scenarios using analytic techniques

Applies advanced analytic techniques such as optimization, simulation, data mining and statistics to design, implement, validate, and refine mathematical models and algorithms to understand, evaluate and optimize supply chain

Develops insightful data driven recommendations and actions

Accountable for moving analytics to strategy within a program or model working with business partners.

Implements solutions to problems using data analysis, data mining, optimization tools and machine learning techniques and statistics

Drive the collection of new data and the refinement of existing data sources

Analyze and interpret the results of analytics experiments

Applies a global approach to analytical solutions-both within Supply Chain globally

Develops and implements strategic direction and operational processes for Supply Chain and the different teams.

Drives the Integrated Supply Chain strategy delivering value for our Customers and for Philips through the implementation of a competitive integrated supply chain, digitally managed with a transparent end-to-end view

Promotes use of analytics with in domain and build internal and external resources and expertise

You are a part of

The Global Domestic Appliances Supply Chain organization, part of the Supply Chain Data Analytics team.

To succeed in this role, you should have the following skills and experience :

3-5 Years work experience

Minimum 3 years experience in Supply Chain

Broad understanding of Supply Chain management.

Previous experience in Data science / Analytics / Statistician roles

Advanced statistical knowledge

Ability to run different scenarios of forecasting methodologies and measure performance

Decide the statistical models and parameters to optimize statistical baseline quality

Hands on and detail oriented, with a strong ability to co-ordinate across different Geographies and with different stakeholders

Experience solving analytical problems using quantitative approaches

Passion for empirical research and for answering hard questions with data

Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources

Business acumen and articulation skills

Expertise in translating business requirements for analytics solution-ing

In return, we offer you

A path towards your most rewarding career. Philips is one of the best in-class organization which offers you big exposure and long-term career development such as internal transfer and international mobility opportunities.


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