Job Location: Bangalore
Job Description
Kimberly-Clark is on a mission to transform to become a data driven and AI-First company.
Vision of this team to embed an algorithm into every K-C Decision, process and product.
We are looking for a hardworking, aspirational and innovative engineering leader for the Lead Data Scientist position in our AI engineering and innovation team. The Data Scientist will play a diverse and far-reaching role across organizations providing leadership and influencing adoption of technical solutions, strategies and design patters across multiple teams and partners within Kimberly-Clark.
This team is mainly responsible for the prototyping, development, interpretation and proving out business value. We are looking for a highly motivated and qualified Data Scientist to help drive our AI Innovation initiatives. This role is ideal for candidates with strong hands-on skills in algorithm selection, feature identification and optimization, and model validation and efficacy.
Responsibilities:
- Understand the business problem, analyse the data, and define the success criteria
- Work with engineering team and architecture teams for data identification and collection, harmonization, and cleansing for the data analysis and preparation
- Responsible for analysing and identifying appropriate algorithms for the defined problem statement
- Analyse additional data inputs and methods that would improve the results of the models and look for opportunities
- Responsible for building models that are interpretable, explainable and sustainable at scale and meets the business needs.
- Build visualizations and demonstrate the results of the model to the stakeholders and leadership team
- Must be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment.
- Lead the design of prototypes in our AI factory, partnering with product teams, AI strategists, and other stakeholders throughout the AI development life cycle.
- Lead and transform data science prototypes
- Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts. Provides guidance and leadership to more junior engineers.
- Explore and recommend new tools and processes which can be leveraged across the data preparation pipeline for capabilities and efficiencies.
- Ensure that our development and deployment are tightly integrated to each other to maximize the deployment user experience.
- Curator for all code and binary artifact repositories (containers, compiled code).
- Work with AI strategists, DevOps, data engineers/SMEs from domain to understand how data availability and quality affects model performance.
- Evaluate open source and proprietary technologies and present recommendations to automate machine learning workflows, model training and versioned experimentation, digital feedback and monitoring.
- Develop and disseminate innovative techniques, processes and tools, that can be leveraged across the AI product development lifecycle.
Qualifications:
- Experience building ML models in a modern cloud-based architecture
- 5+ years of demonstrated experience in developing highly scalable, reliable, and resilient multi-tenanted ML algorithms for large scale use cases in Sales and Marketing, Revenue management, Supply Chain and other business areas.
- 5+ years of demonstrated experience in developing ML pipelines on various frameworks on AWS, Azure, or similar cloud platforms.
- Proficient and experienced in Python and SQL for data analysis and exploration
- Experience in cloud based solutioning and managing enterprise grade end to end machine learning solutions with automated pipelines for data processing, feature engineering, training, evaluation, deployment, integration and monitoring.
- Hands-on experience with Docker, Kubernetes and the cloud infra like Azure, AWS, GCP and on machine learning tools like Azure Machine Learning, Amazon Sagemaker, MLFlow, KubeFlow, etc in production.
- Experience in building end to end Machine Learning Architectures.
- Strong knowledge in one of machine learning design principles, ML Ops best practices or Big Data architectures.
- Experience in end-to-end AI life cycle including Data science, technical experience in AI, machine learning, predictive modelling, Natural Language Processing (NLP), Deep learning, advanced analytics and statistics modelling, Python, SQL, Azure/AWS/GCP
- Experience on model monitoring, explainability, model management, version tracking & storage and AI governance
- Deployment of models, Docker, ML Pipelines, Azure Machine Learning
- Knowledge on SQL/NoSQL databases, microservices and REST APIs, docker
- Strong Knowledge on source code management, configuration management, CI/CD, security and performance.
- Ability to look ahead to identify opportunities and thrive in a culture of innovation
- Self-starter who can see the big picture, and prioritize your work to make the largest impact on the business’ and customer’s vision and requirements
- Experience in building, testing, and deploying code to run on Azure cloud datalake
- Ability to Lead/nurture/mentor others in the team.
- A can-do attitude in anticipating and resolving problems to help your team to achieve its goals.
- Must have experience in Agile development methods
Global VISA and Relocation Specifications:
K-C requires that an employee have authorization to work in the country in which the role is based. In the event an applicant does not have current work authorization, K-C will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all rols are suitable for sponsorship.
This role is available for local candidates already authorized to work in the role’s country only. K-C will not provide relocation support for this role.
Primary Location
IT Centre Bengaluru GDTC
Additional Locations
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
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