Data Scientist – (Research Development & Engineering area)

Data Scientist – (Research Development & Engineering area)

Job Description

You’re not the person who will settle for just any role.

Neither are we.

Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference.

Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands.

In this role, you’ll help us deliver better care for billions of people around the world.

It starts with YOU. 

 

In this role, you will:

Play a pivotal role in designing and building analytics solutions to facilitate informed decision-making.

You will work closely with various R&D and DTS technology teams to design and implement scalable data pipelines, design analytics within R&D solutions, and ensure the accuracy and availability of data for analytics and reporting.

Primary focus of the position is to design, develop, and maintain analytics solutions.

Kimberly-Clark is seeking a motivated and skilled data scientist to join our dynamic team.

Customers: Research & Development, Global Growth, and Quality Assurance.


* Collaborate with engineering and architecture teams to identify, collect, and harmonize data from various sources.


* Design and develop ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines to process and curate data sets using technologies such as SQL Server, Azure Data Factory and Databricks.


* Develop and maintain data models and data warehouses using platforms like SQL Server, Azure Data Factory, Snowflake, and Databricks.


* Apply metadata-driven frameworks to ensure scalable data ingestion and processing.


* Implement data quality checks and validation frameworks to maintain high data standards.


* Build and maintain data development standards and principles, providing guidance and project-specific recommendations.


* Build models that are interpretable, scalable, and meet business needs.


* Develop visualizations to demonstrate the results of data models to stakeholders and leadership, leveraging Microsoft Azure technologies.


* Test and validate analytics solutions to ensure data integrity and actual results meet expected results.


* Work with principal architect, product owners, solution engineers, business customers, and other key stakeholders to translate requirements into technical designs.


* Mentor junior engineers and team members on data engineering techniques and best practices.


* Train and build the talent of business users to maximize the return on investment of the analytics solutions.


* Use Agile methodologies and tools to deliver products in a fast-paced environment.


* Collaborate with platform teams to design and build automated processes for pipeline construction, testing, and code migration.

 

About Us

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