Data Scientist

Data Scientist

  • Anywhere

Company Name:-
ASSPL – Karnataka

Job Location:-
Bengaluru, Karnataka

Job Summary:-
A MS in Computer Science or Machine learning or Operational research or Statistics or in a quantitative field.

3+ year of experience and an advanced degree in a technical field, preferably statistics, math or computer science is desired
A very strong grounding in applied statistical modeling and a very strong grasp of statistical concepts.

Must be comfortable in the world of numbers, models, and algorithms
A strong level of proficiency in Python is required
Willingness to dive deep and work on difficult and ambiguous problems with unknown outcomes.

Ability to partner and work efficiently with partner teams and stakeholders is critical.

Strong grasp of machine learning, data mining and data analytics techniques
Strong Problem solving ability.

Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc is required
Understanding of databases (RDBMS, NOSQL) from a perspective how to write queries and pull data from them is essential.

Amazon strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online.

By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform.

Amazon’s evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company’s DNA.

Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects.

We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & Machine learning algorithm as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems.

Responsibilities:Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question
Given a business problem, estimate solution feasibility and potential approaches based on available data
Understand what data i

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