Infosys Off Campus Drive | Data Engineer / Data Scientist | Fresher / Experienced

Qualifications

• Educational Requirements: Bachelor of Engineering or Master Of Engineering,Master Of Technology,Master Of Science,Master Of Comp. Applications,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor Of Technology,Bachelor of Engineering

Roles & Responsibilities:-

For Data Engineer:

• As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
• You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
• You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
• You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
• You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers.

For Data Scientist:

• Document or guide documentation of simple as-is customer processes Appreciate the context of customer requirements from specific engagements
• Ability to suggest Analytics algorithms to use based on business situation mindful of fundamental assumptions in the algorithms; OR Work with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective Align our deliverables to customer requirements, provide business acumen to avoid apparently bookish or theoretical output Ability to converse with customers on rationale for an approach taken, pros and cons, etc.
• Responsible for successful delivery of Advanced Analytics solutions and services in client consulting environments; experience in optimization (linear, mixed integer, constraint programming), simulation, and/or predictive analytics using AAO tools, such as SAS or SPSS and other Tools R and Python.
• Define key business problems to be solved; formulate mathematical approaches and gather data to solve those problems, develop, analyze/draw conclusions and present to client.
• Assist clients in identifying type of analytics and management data that will directly relate to improving clients’ market share or any other measure client is addressing.
• Identify the differentiators, map them to present-day environment, and then design an improvement plan.
• Discover new opportunities to optimize the business through analytics and statistical modeling. Oversee all aspects of analytics and business intelligence projects if necessary.