Data and Analytics
Data and Analytics
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Job Description
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 datadriven decisionmaking 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 crossfunctional teams including software engineers data scientists and business analysts to implement datadriven 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 problemsolving 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 coworkers 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.
Employment Type
Full-Time
Key Skills
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