Job Location: Chennai
Data Science/Analytics Engineercollaborates with business and analytics leaders to generate insights andanswer business questions by using analytics techniques such as advanced datavisualization, statistical analysis, randomized testing, predictive modeling,forecasting, optimization, and/or machine learning.
Proposes innovative ways to lookat problems by using these approaches on available enterprise data as well ascustomer third party data and information. Validates findings usingexperimental and iterative approaches. This level performs basic statisticalanalysis of low to moderately complex data from a single source, with heavyreliance on industry/standardized tools and existing models. Output is reviewedby higher-level Data Scientists or Analytics Manager for execution.
Roles and Responsibilities
* Work with data sets and perform appropriateanalytical methodology to provide insights and decision modeling for thebusiness
* Create and implement algorithms which manage thedata to enable it to be analyzed in an efficient manner
* Support the communication of derived insights,especially through appropriate visualization techniques
* Support the identification of the required datasources and works with Data Engineer/or IT to implement methodologies to retrieveand use this data
* Stays abreast of the latest appropriateanalytical techniques and recommends these where needed
* Explains implementation and usage in businessterms
* Applies analytical techniques to prospect forbusiness insights and find patterns in data which could be valuable for thebusiness
* Develop, code, configure, test, and deploysolutions to support analytics users
* Enable the Engineering Organization to quicklymake informed business decisions by developing and/or automating reports,dashboards, metrics, and alerts.
* Support, evaluate, and continually improvedigital tools to maintain alignment with strategic goals of the business, whilefunctioning within an agile framework
* Mining information, building reports usingvisualization tools
* Maintain a strong and collaborative workingrelationship with front-end application delivery teams and other relevantstakeholders and team members
* Ensure reusability and efficiency in the design,build and support of analytics solutions
* Evaluate and implement enhancement designsolutions to improve cost, quality, and performance of Master Data softwareapplications
* Follow industry-standard agile software designmethodology for development and documentation
* Utilize your understanding of applicationsdevelopment environment, database, data management and infrastructurecapabilities and constraints to deliver value to our customers
Experience/Skills required
* Overall experience of 4-10 years of relevant ITexperience as Data Scientist/Analytics Engineer who designed and developed datascience and analytics solutions for enterprises
* Should have Bachelors/masters degree inengineering discipline with computer science
* Extensive background in data mining andstatistical analysis
* Able to understand various data structures andcommon methods in data transformation
* Excellent pattern recognition and predictivemodeling skills
* Experience working with Amazon Web Services(RDS, S3, Lambda, etc.)
* Experience with Python or Java development
* Experience with visualization tools – PowerBI/Tableau
* Complex SQL writing skills with SQL Server, SAS,HANA, DB2
* Experience in analyzing and translating businessrequirements into technical solutions
* Strong analytic skills with high attention todetail and accuracy
* Data integration for ETL/ELT solutions
Good to have skills
* AWS certification
* Experience with Automated Testing software
* Microservices concepts and tools
* Experience with Apache Spark, Python Pandas,
* DataBricks, or AWS Glue
* Experience with Qlik/Attunity/DMS or datareplication software
* Understanding ofJenkins / Terraform / CloudFormation
* Proven working experience with using MicrosoftPower Platform
* Knowledge of manufacturing execution and qualitysystems and processes
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