Senior Data Scientist

  • Irving, TX
  • Posted 6 days ago | Updated 6 days ago

Overview

On Site
Depends on Experience
Full Time

Skills

AIML
Python
PySpark
AWS
Azure
Kubernetes

Job Details

About Us:

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 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .

Role: Senior Data Scientist

Location Irving, TX

Working model - Work from office 5days

JD

Customer is looking for a Senior Data Scientist to join the AI COE Team

Customer were creating the next generation of convenience and we know that the best way to do that is with great people If you get excited about working on challenging problems and owning a solution from concept to implementation read on

About the job

Youll be joining a multidisciplinary team of scientists researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day

You will be responsible for building and deploying AIML solutions that improve customer experience enable innovative user experiences and increase store revenue Engineers at clientNext have solid technical background but enjoy learning new languages technologies and frameworks From creating an experimental machine learning prototype to deploying a production ready backend engineers at client take many hats to see projects to completion

Key Responsibilities

  • Research prototype and develop AIML solutions to build personalized systems
  • Build deploy and analyze AIML solutions and perform statistical experiments when deploying new AI products
  • Analyze and segment customer data and clearly visualize customer behavior to make product decisions
  • Stay up to date with emerging technology and learn new technologieslibrariesframeworks
  • Learn and partner with peers across multiple disciplines such as data product and systems design
  • Deliver on time with a high bar on quality of research innovation and engineering

Basic Qualifications

  • 4 years of experience with statistical data science techniques feature engineering customer segmentation etc
  • 4 years of experience with SQL PySpark and Python
  • 4 years of experience training evaluating and deploying Machine Learning models
  • 4 years of experience with productionizing and deploying ML workloads in AWSAzure
  • 1 years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks
  • Familiarity with containerized application tooling and deployments DockerKubernetes
  • Bachelors Degree or higher in Computer ScienceEngineeringMath or relevant experience

Extra Credit

  • Experience with Databricks platform
  • Experience building ML models with large amounts of structured and unstructured data

 

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

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About LTIMindtree