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Senior Specialist Data Scientist
1 week ago
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.
As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.
ResponsibilitiesTotal 8 10 years of experience in data analysis advance analytics work 5 years' experience with working with Cxo and business stakeholders
Work closely with project managers to understand and maintain focus on their analytics needs including critical metrics and KPIs and deliver actionable insights to relevant decision makers
Work with business to identify Engineering Business domain centric Use cases which can be solved using AI ML
Proactively analyze data to answer key questions for stakeholders or yourself with an eye on what drives business performance and investigate and communicate which areas need improvement in efficiency and productivity
Create and maintain rich interactive visualizations through data interpretation and analysis with reporting components from multiple data sources
Create Analytical Roadmap form team with data analyst data scientist to build poc pilot as well mainstream solution
Create ML OPS framework working with various COE to improve and mature Dev Ops and MLops framework
Define and implement data acquisition and integration logic selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across datasets
Strong experience in working with packaged cloud solutions such as Azure ML AWS Sagemaker Watson etc
Solution experience on end-to-end life cycle from identifying business case till deploying ML into production
Strong experience in handling variety of data formats Structured unstructured semi structured and various data stores object storage RDBMS No SQL Distributed database Datawarehouse etc
Required skills and qualifications
Three or more years of experience mining data as a data analyst
Proven analytics skills including mining evaluation and visualization
Technical writing experience in relevant areas including queries reports and presentations
Strong SQL or Excel skills with aptitude for learning other analytics tools
Preferred skills and qualifications
Bachelor's degree or equivalent in mathematics computer science economics or statistics
Experience with database and model design and segmentation techniques
Strong programming experience R Python SAS any analytical language with frameworks including XML Java Script and ETL
Practical experience in statistical analysis through the use of statistical packages including Excel SPSS and SAS
Proven success in a collaborative team oriented environment
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