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Data Scientist at Aeries Technology Group

Department: Information Technology



Level: 4



Location: Hyderabad



About ATG



Founded in 2012, ATG is a global services company providing technology, business process management and consulting services to some of the leading global organizations. We have a proven track record of helping our clients identify and deliver significant bottom line improvements using our expertise in finance, legal, HR and information technology related services. Our unique business engagement model is purpose-built to offer our client partners with best-in-class service through dedicated resources such as people, technology, infrastructure and top management support.



For more information, log on to http://www.aeriestechnology.com



About Digital River



Digital River is an E-commerce platform service provider that gives their clients online business an edge and risk-free entry into markets worldwide. They offer advance commerce cloud, flexible integrations, monetization tools and global services. Digital River has nearly 25 years of industry experience. With their global presence and reach they ensure superior global commerce support, from shopper experience to taxation and compliance, payment strategies and online marketing.



For more information, log on to www.digitalriver.com



About the Role: Position summary & Main tasks/activities (short and precise definition of the role and most important activities listed)



We are looking for a savvy Data Engineer/Scientist to join our team. This candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced Data Engineer who has grown into a Data Scientist. The Data Engineer/Scientist will support our software developers, architects, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.



Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Develop custom data models and algorithms to apply to data sets.

Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Develop company A/B testing framework and test model quality.

Coordinate with different functional teams to implement models and monitor outcomes.

Develop processes and tools to monitor and analyze model performance and data accuracy.



About you: (education, linguistic ability, professional experience, leadership qualities, soft skills)



Strong problem-solving skills with an emphasis on product development.

Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

Experience working with and creating data architectures.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Excellent written and verbal communication skills for coordinating across teams.

A drive to learn and master new technologies and techniques.

Were looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Masters in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools

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