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Machine Learning Engineer @ Kimberly-clark Lever

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 Machine Learning Engineer

Job Description

Machine Learning Engineer Job Description

SU M M A R Y OF ROLE:

The IT Digital Supply Chain Data Analytics team is organized around world-class data, advanced data science and automation to drive business value for the K-C organization. We are a group of curious people and critical thinkers focused on solving the problems of the day and opportunities of the future through applied intelligence and data science. As part of this team, the Machine Learning Engineer is responsible for integrating business, information, and technology architecture to create artificial intelligence and machine learning solutions for supply chain and manufacturing capabilities. This role is viewed as a solution innovator and expert in complex analytical and digital platform environments, encompassing both business process understanding and technical expertise.

Scope/Categories:

Role will report to a Manager in the IT Digital Supply Chain organization. Role wi ll not have any direct reports.

Key Interfaces: Data Scientists, Business Customers , Functional Engineers , Solution Enginee rs, Enterprise Data Management teams , Analytics Designers , Project Manager .

External Interfaces: Consultants , Vendors , Managed Services Providers (onshore/offshore) . Travel may include approximately 15% of work time.

Key Accountabilities :

  • Drive a rigorous approach leveraging data science including a rtificial i ntelligence and m achine l earning to solve problems in the context of growing Kimberly Clark brands, increasing sales, and enabling operational excellence.

  • Partner with Data Scientists to design and develop innovative, machine learning solutions for important, highly complex strategic and operating problems. Has strong knowledge in business and technical functions that are touch points with in their area of expertise. Provide technical consulting on complex projects.

  • Collaborate with functional and solution engineers to develop data and model pipelines including understanding lineage and granularity of data required to perform data science and helping prepare, profile, and cleanse data needed for data science.

  • Assist in embedding machine learning AI outputs into key business applications including analytical and transactional solutions.

  • Scale up existing data science solutions (deploy to additional regions, apply to additional areas/attributes)

  • Support the iterative data science implementation cycle by assisting with research, design, experimentation, development, deployment, monitoring, and maintenance as required.

  • Communicate complex processes to business leaders - explain outputs of machine learning in business language

  • Produce project outcomes and isolate issues with models through continuous improvement

  • Research and implement best practices to enhance existing machine learning infrastructure. Contribute to new and existing data science architecture patterns.

  • Analyze large and complex data sets to derive valuable insights

  • Document solutions in appropriate service management applications and collaborate with Solution Engineers, Enterprise Architecture, and Analytics Designers to make sure that the data science solution fits within enterprise context.

  • Coordinate engagements with vendors as they relate to evaluation, design and delivery of business capabilities. Contribut e to the evaluation and selection of software products.

  • Acts as a source of direction, training and guidance for other team members. Is knowledgeable in industry best practices in their area of expertise and uses resources outside of K - C to deliver the end - to - end machine learning solutions.

  • Influences and moves the K-C culture to one that values and uses cross-business and functional data and analytics to power business performance.

Key Qualifications and Experiences :

  • Bachelor's degree required, Master s degree preferred. Relevant fields include computer science/engineering, statistic s , mathematics, artificial intelligence, or operations research.

  • Three or more years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, Random Forest, etc.

  • Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark, Python, R, Gurobi , MySQL, etc.) Proficiency in SQL and Python is important.

  • Understanding of data structures, data modeling and software architecture . E xperience d esigning and i mplementing d ata s cience s olution s on Azure is helpful.

  • Familiarity with machine learning frameworks and libraries

  • Experience in applying machine learning, predictive analytics and classification techniques towards real product and problems

  • Ability to write robust code in Python or Java or equivalent modern programming language

  • Experience with data integration methods and tools including ETL and virtualization.

  • Excellent written and verbal communication skills along with strong desire to work in cross functional teams

  • Consumer products experience in retail/manufacturing environment is preferred. Basic functional knowledge in key CPG Supply Chain Area capabilities ( Planning, Procurement, Manufacturing, Logistics, Safety Sustainability, Quality , etc.) is a big plus.

  • Experience collaborating with data scientists, solution architects, and engineers to identify, design, and implement highly complex, end-to-end solutions.

  • Broad range of business and IT experiences; Has achieved technical and/or business certification(s).

  • Ability to operate in a digital workplace utilizing modern technologies to connect, collaborate, communicate and cooperate across a global organization and across organizational boundaries.

  • Ability to work in a virtual team which may work across distance (remote), cultures and time zones, in a matrix with multiple reporting lines, and may extend outside the K-C organization including suppliers, partners and customers.

  • Ability to communicate strategies and processes around machine learning and data architecture to cross functional groups and senior levels.

  • Thought leader with strong connection to industry and technology user groups and networks. Keeps abreast of leading trends in digital, cloud, artificial intelligence, machine learning, block chain, virtual reality, augmented reality and combinations of technology that matter in AI ML .

  • High level of communication is required. Must be self-motivated, self-disciplined and have strong time management skills. Embraces learning agility to keep abreast of new technologies and strategies.

  • Possesses strong leadership skills and exhibits creative thinking to be able to design inventive solutions which solve business challenges. Cultivates networking opportunities within the organization .

 

Job Classification

Industry: Consumer Electronics / Appliances / Durables,
Functional Area: IT Software - Other,
Role Category: Programming & Design
Role: Programming & Design
Employement Type: Full time

Education

Under Graduation: Any Graduate in Any Specialization
Post Graduation: Any Postgraduate in Any Specialization
Doctorate: Any Doctorate in Any Specialization, Doctorate Not Required

Contact Details:

Company: Kimberly-clark Lever

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Keyskills:   Procurement Networking data science Data modeling Enterprise architecture Consulting Machine learning Virtualization Monitoring SQL

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Kimberly-clark Lever

Leading the world in essentials for a better life. That's what Kimberly - Clark is all about.We place consumers at the center of everything we do. Billions worldwide choose our products to make a positive difference in their lives. That's a big responsibility and one we take seriously.43,000 employe...