Senior Data Scientist

Senior Data Scientist

  • Anywhere

Company Name:-
ADCI – BLR 14 SEZ

Job Location:-
Mumbai, Maharashtra

Job Summary:-
Master’s degree with 5 years relevant experience in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.

).

Hands-on industry experience in predictive modeling and analysis, as an ML engineer or data scientist role, applying various ML techniques, and understanding the key parameters that affect their performance.

Experience with R, Weka, SAS, SPSS, Matlab or other statistical/machine learning software.

Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.

Experienced in using multiple data science methodologies to solve complex business problems (e.

g.

statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.

).

Experienced in handling terabyte-sized data sets, diving into data to discover hidden patterns, using data visualization tools, using SQL and databases in a business environment.

Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker, Lambda, EC2, Batch, Step Function.

Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.

Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge, educating them about our systems, as well as sharing insights and data-driven recommendations.

Role based in Luxembourg – eligible for relocation package.

At Amazon, we strive to be the most innovative and customer centric company on the planet.

Come work with us to develop innovative Customer Fulfilment products, tools and research driven solutions in a fast-paced environment by collaborating with smart and passionate leaders, program managers, data scientists and software developers.

Our mission is to build the most efficient, intelligent and interpretable solutions on the planet.

The EU Ops Integration Analytics team is part of Amazon EU Customer Fulfillment and is responsible for improving and supporting performance management of our Fulfilment Centers through state-of-the-art and

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