Pfizer

AI and Analytics Data Engineer

Pfizer

full-time

Posted on:

Location Type: Hybrid

Location: Mumbai • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudETLPythonSQL

About the role

  • Building and automating high quality data science pipelines that power key business applications with advanced analytics/AI/ML
  • Defining and maintaining ML Ops best practices and deploying and maintaining production analytics and data science modeling workflows
  • Converting data/ML pipelines into scalable pipelines based on the infrastructure available
  • Enabling production models across the ML lifecycle
  • Determining model performance metrics and implementing monitoring dashboards
  • Designing champion/challenger model and A/B testing automation
  • Implementing CI/CD orchestration for data science pipelines
  • Managing the production deployments and post-deployment model lifecycle management activities
  • Working with stakeholders to assist with ML pipeline-related technical issues
  • Partnering with teams to integrate developed ML pipelines into enterprise-level analytics data products where appropriate

Requirements

  • Bachelor’s degree in ML engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)
  • 5-10 years of work experience in Data science, Analytics, or Engineering for a diverse range of projects
  • Understanding of data science development lifecycle (CRISP)
  • Strong hands-on skills in ML engineering and data science (e.g., Python, R, SQL, industrialized ETL software)
  • Experience working in a cloud based analytics ecosystem (AWS, Snowflake, etc)
  • Highly self-motivated to deliver both independently and with strong team collaboration
  • Ability to creatively take on new challenges and work outside comfort zone
  • Strong English communication skills (written & verbal)
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ML Opsdata science pipelinesmodel performance metricsA/B testingCI/CD orchestrationPythonRSQLETL softwaredata science development lifecycle
Soft skills
self-motivatedteam collaborationcreativityproblem-solvingcommunication
Certifications
Bachelor’s degree in ML engineeringBachelor’s degree in Data ScienceBachelor’s degree in Computer EngineeringBachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Engineering