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Lead Product Software - Data Science Engineer

4-7 Years
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Job Description

  • ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Lead and Manage configuration, maintenance, and support of portfolio of AI models and related products.
  • Manage model delivery to Production deployment team and coordinate model production deployments.
  • Ability to analyze complex data requirements, understand exploratory data analysis, and design solutions that meet business needs.
  • Work on analyzing data profiles, transformation, quality and security with the dev team to build and enhance data pipelines while maintaining proper quality and control around the data sets.
  • Work closely with cross-functional teams, including business analysts, data engineers, and domain experts.
  • Understand business requirements and translate them into technical solutions.
  • Understand and review the business use cases for data pipelines for the Data Lake including ingestion, transformation and storing in the Lakehouse.
  • Present architecture and solutions to executive-level.
  • MINIMUM QUALIFICATIONS
  • 5+ years of overall experience in Data Science
  • Consistent record in building data science products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies
  • Expert level knowledge of Python programming language, data engineering and data science ecosystem in Python. Production level Python script coding experience is must have.
  • Expert in End-to-end design and architecture of enterprise level data warehouse lakehouse/bigdata solutions, data lifecycle management, Data transformation pipelines
  • Some Experience with Dimensional modeling and data warehouse design methodologies.
  • Experience with Cloud/Infrastructure provisioning, security, and best practices with Azure data platform.
  • Experience with Azure data platform (Azure data factory, Azure data lake, Azure SQL DB, Azure DW/Synapse) or similar AWS/Google cloud-based services.
  • Experience with Spark, DataBricks, Power BI, Azure Analysis Services
  • Experience with Data integration and streaming tools like Azure stream analytics event hub.
  • Experience with working with business stakeholders, requirements use case analysis.
  • Strong communication and collaboration skills with creative problem-solving skills.
  • PREFERRED QUALIFICATIONS
  • Bachelors degree in Computer Science or equivalent work experience.
  • Experience with Agile/Scrum methodology.
  • Experience with tax and accounting domain a plus.
  • Azure Data Scientist certification a plus.

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Open to candidates from:
Indian

About Company

Medknow is a leading publisher of peer-reviewed scholarly open access journals. Medknow is: - One of the largest global open access services provider - Professional health information for clinicians, physicians, nurses, and students - Covers a wide range of subject areas in 40+ specialties, from Dermatology to Orthopaedics to Psychiatry - Indexed in a large number of leading bibliographic database It has a very strong global portfolio of over 450 leading titles and publishes on behalf of over 415 medical associations and societies, worldwide Medknow partners with societies to help them build and innovate their journal brand. It value adds the publishing by creating value for society members and readers by managing publishing, marketing, editorial, production, and subscriptions. Medknow is also committed to improving the visibility and accessibility of the content, globally.

Job ID: 120343603