Data & Analytics Chapter Lead

Posted 2 Days Ago
Be an Early Applicant
Pune, Maharashtra
Senior level
Logistics • Transportation • Design • Automation • Manufacturing
The Role
The Data & Analytics Chapter Lead will provide technical leadership to data scientists and engineers, develop and deploy analytics models for predictive maintenance. This role involves optimizing solutions, driving innovation in a cloud environment, and implementing best practices in MLOps and CI/CD.
Summary Generated by Built In

We are looking for a Data & Analytics Chapter Lead to join our team—a hands-on expert who can develop and deploy analytics solutions at scale while also mentoring and guiding our data science team. Our global analytics solution for predictive maintenance relies heavily on cloud development and strong software engineering skills, making this role crucial in driving innovation and operational excellence.

In this role, you will:

  • Provide technical leadership to data scientists and data engineers, fostering skill development and best practices
  • Work closely with business, product, and engineering teams to identify challenges and design scalable AI/ML solutions
  • Develop, optimize, and deploy analytics models that enable predictive maintenance and intelligent insights
  • Productionize analytical solutions, ensuring robustness, scalability, and efficiency in a cloud environment
  • Leverage IoT data to drive improvements in predictive analytics and intelligent insights.
  • Implement CI/CD pipelines and MLOps best practices for model deployment and monitoring

We welcome candidates with:

  • Bachelors or equivalent experience in Computer Science, Data Science, Machine Learning, or a related quantitative field
  • Proven hands-on experience in developing, deploying, and managing ML solutions in production
  • Background in statistical modeling, deep learning, and machine learning techniques
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn
  • Experience working with cloud platforms (AWS, Azure, or GCP) and scalable architectures
  • Experience in software engineering practices, including CI/CD, DevOps, containerization (Docker, Kubernetes), and infrastructure as code
  • Proven track record of leading and managing data teams, including data scientists and data engineers
  • Strong communication and collaboration skills
  • Can-do attitude with a growth mindset

At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.

Read more on www.kone.com/careers

Top Skills

Python
The Company
HQ: Espoo
31,273 Employees
On-site Workplace
Year Founded: 1910

What We Do

At KONE, our mission is to improve the flow of urban life. This means understanding urbanization and, together with our partners and customers, helping cities to become better and more sustainable places to live.

As a global leader in the elevator and escalator industry, KONE provides elevators, escalators and automatic building doors, as well as solutions for maintenance and modernization to add value to buildings throughout their life cycle. Through more effective People Flow®, we make people's journeys safe, convenient and reliable, in taller, smarter buildings.

Headquartered in Helsinki, Finland, we operate in more than 60 countries around the world, employ over 60,000 people and serve 550,000 customers. In 2022, KONE had annual sales of EUR 10.9 billion. KONE class B shares are listed on the Nasdaq Helsinki Ltd. in Finland.

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