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.Experience in Machine Learning, Strong in ML/MLOPs
- 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
- Bachelor's 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.
ABOUT WOLTERS KLUWER
Founded in 1836, Wolters Kluwer (www.wolterskluwer.com) is a market-leading, Global Information Services company focused on professionals in the legal, business, tax, accounting, finance, audit, risk, compliance, and healthcare markets. It enables legal, tax, finance and healthcare professionals to be more efficient and effective by providing information, software and services that deliver vital insights, intelligent tools, and the guidance of subject matter experts.
Headquartered in Alphen aan den Rijn, the Netherlands, Wolters Kluwer is organized around four customer facing global divisions: Legal and Regulatory, Tax and Accounting, Financial and Compliance Services, and Health. The company employs nearly 19,000 professionals around the world and supports customers in 150 countries. Wolters Kluwer has operations in 40 plus countries across Europe, North America, Asia Pacific and Latin America.
Wolters Kluwer shares are listed on Euronext Amsterdam (WKL) and are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
