Sr Data Scientist
Company Name:-
ADCI – Karnataka
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Bachelors/ Master’s in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics
8+ years of industry experience in statistics and probability, data querying languages (e.
g.
SQL, Hadoop/Hive), R or Python
Experience building complex data visualization
Track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Natural curiosity and desire to learn, a passion for solving real world problems
Amazon has spent years building one of the worlds most efficient and optimized supply chains.
The Amazon Distribution and Fulfillment Solutions Org (ADFS) will build on that foundation and continue to innovate end-to-end supply chain capabilities.
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning, data engineering, simulation, and advanced statistical modeling to solve real world problems in Supply Chain, Inventory Management, Simulation and Data Visualization?
If the answer is yes, then imagine being part of a team that leverages one of the largest supply chains in the world.
Our vision is ambitious – to fulfill orders for every customer in the world, regardless of where the transaction occurs.
We are looking for a Data Scientist who will guide our businesses by pushing the boundaries of data science, machine learning, and modeling to solve complex problems in a fast moving environment.
Upon joining the team, our ideal candidate will build quantitative systems, path breaking experiments, and models that will guide strategic decisions for Project Ascent around the global.
They will be comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.
A successful candidate will:Be a problem solver, who is excited by difficult modeling challenges in an uncharted space.
Be motivated to contribute towards the development of customer-centric products.
Possess strong communication skills to effectively interface between technical, financial, operations, and business teams.
Collaborate with product managers, data scientists and software developers to incorporate models into production processes and influence senior leaders
Explain
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