Specialist – Data Engineering job in us

Specialist – Data Engineering

Company: Larsen & Toubro Infotech Ltd

Location: US




Job Descriptions

Specialist – Data Engineering



As Cloud and Machine Learning Engineer, you will analyze large, complex data sources to generate actionable insights and solutions that will enhance our customer experience.


You will work with business partners to develop an understanding of business needs and opportunities for data analysis and experiments. Leverage your expanding technical and business knowledge to build models that solve key business problems




Must have: AWS, Spark, Machine Learning (Python)


Good to have: NLP, Deep Learning, Statistical modeling


Primary Job Duties & Responsibilities


  • Independently perform tasks to support the development of analytical solutions.


  • Develop domain and business knowledge to build statistical models.


  • Communicate analysis, insights, and results to manager, peers, and working team.


  • Assist or mentor less experienced analytic talent


Education, Work Experience, & Knowledge


  • Masters in STEM related field or equivalent


  • 1 year of related experience


  • Moderate working knowledge of modeling/research /analytics or actuarial required


  • Relevant statistical analysis work experience required


  • Knowledge of statistical techniques with the ability to read and revise statistical software programs


  • Ability to develop basic models and interpret model results


  • Basic understanding of advanced statistics underlying data models


  • Ability to apply emerging statistical procedures to work


  • Working knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.


Minimum Qualifications


  • Master’s degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus one year of experience or any suitable and equivalent combination of education and work experience.





Job Segment: Cloud, Engineer, Database, Technology, Engineering, Research

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