Data Scientist Job Vacancy in ADCI – Karnataka Bengaluru, Karnataka – Updated today
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Full Details :
Company Name : ADCI – Karnataka
Location : Bengaluru, Karnataka
Position :
Job Description : Masters in Mathematics, Computer Science with 3 years of experience in data science or Bachelors in Mathematics, Computer Science with 5 years of experience in data science
Deep knowledge of various machine learning techniques and key parameters that affect their performance
Strong experience in building ML, optimization models and in using Python and SQL.
Strong Analytical skills – has ability to scope out business problems to be solved, start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem
Communication skills – Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data.
Ability to work in a fast-paced business environment and demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
Job summary
Are you passionate about building data-driven solutions to drive the profitability of the business? Are you excited about solving complex real world problems? Do you have proven analytical capabilities, exceptional communication, project management skills, and the ability to multi-task and thrive in a fast-paced environment? Join us a Data Scientist to deliver analytics solutions for Amazon Payment Products.
Amazon Payment Products team creates and manages a global portfolio of products, including co-branded credit cards, instalment financing, third party redemptions, and financial services marketplaces. Within this team, we are looking for a Data Scientist who will be responsible for the following:
Coming up with different approaches to solve business problem and evaluate the trade-off between them
You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard regression and classification ML techniques
Innovate by adapting new modeling techniques and procedures
You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
You should have excellent business and communication skills to be able to work with stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, dive deep analyses, predictive modeling and project management
Previous experience in a ML or data scientist role with a large technology company
Experience in creating powerful data driven visualizations to describe your ML modeling results to stakeholders
Experience in Insurance domain
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