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Kone

Data and Analytics

Reposted 22 Days Ago
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2 Locations
Senior level
2 Locations
Senior level
The Data and Machine Learning Specialist analyzes data, develops predictive models, and collaborates with teams to enhance data-driven decision-making.
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A Data and Machine Learning Specialist is responsible for managing, analyzing, and leveraging data to drive business insights and develop predictive models. This role combines elements of data science, data engineering, data management, and machine learning to ensure data-driven decision-making and innovation.

Responsibilities:

  • Data Collection & Management: Gather, clean, and organize data from various sources to ensure its accuracy and accessibility.
  • Data Analysis: Utilize statistical methods and machine learning tools to analyze data and uncover trends and patterns.
  • Pipeline Development: Design and maintain efficient data pipelines and architectures to facilitate seamless data flow.
  • Model Development: Create, test, and optimize machine learning models and algorithms to solve complex problems.
  • Reporting & Visualization: Present findings through detailed reports and visualizations to communicate insights effectively.
  • Collaboration: Work closely with cross-functional teams, including software engineers, data scientists, and business analysts, to implement data-driven solutions.
  • Performance Optimization: Continuously improve data delivery, scalability, and model performance.
  • Documentation: Maintain thorough documentation of processes, models, and results.

Requirements:

  • Bachelors or equivalent degree with over 5+ years of experience and proficiency in programming languages such as Python, SQL.
  • Strong knowledge of cloud platforms like AWS, Google Cloud, or Microsoft Azure.
  • Experience with data visualization tools and techniques.
  • Solid understanding of machine learning algorithms and statistical analysis.
  • Excellent problem-solving skills and attention to detail.
  • Ability to collaborate effectively with diverse teams.

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

AWS
GCP
Azure
Python
SQL

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