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I&F Decision Sci Practitioner Specialist

7 - 11 years

9 - 13 Lacs

Posted:3 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Skill required: Delivery - Marketing Analytics and Reporting Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AIAnalytical processes and technologies applied to marketing-related data to help businesses understand and deliver relevant experiences for their audiences, understand their competition, measure and optimize marketing campaigns, and optimize their return on investment. What are we looking for? Python (Programming Language) Structured Query Language (SQL) Machine Learning Data Science Written and verbal communication Ability to manage multiple stakeholders Strong analytical skills Detail orientation Expertise in AWS, Azure, or Google Cloud for ML workflows. Hands-on experience with Kubernetes, Docker, Jenkins, or GitLab CI/CD Familiarity with MLflow, TFX, Kubeflow, or SageMaker. Knowledge of Prometheus, Grafana, or similar tools for tracking system health and model performance. Understanding of ETL processes, data pipelines, and big data tools like Spark or Kafka. Proficiency in Git and model versioning best practices. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Work closely with data scientists, engineers, and DevOps teams to operationalize ML Optimize ML pipelines for performance, cost, and scalability in production. Automate deployment pipelines for ML models, ensuring fast and reliable transitions from development to production environments Set up and manage scalable cloud or on-premise environments for ML workflows. Qualifications Any Graduation

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Accenture
Accenture

Professional Services

Dublin

600,000+ Employees

36723 Jobs

    Key People

  • Julie Sweet

    Chairman & Chief Executive Officer
  • KC Choi

    Global Lead for Technology & Chief Operating Officer

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