At Jabil
We strive to make ANYTHING POSSIBLE and EVERYTHING BETTER. With over 260,000 diverse, talented and dedicated employees across 100 locations in 30 countries, our vision is to be the most technologically advanced and trusted manufacturing solutions provider.
1 лютого 2023
Senior Data Scientist (вакансія неактивна)
за кордоном, віддалено
Job Description:
Work as a Data Scientist to design, develop and implement Advanced Analytics including Machine Learning solutions within Jabil’s Enterprise Information Platform. A successful candidate will be able to create, evaluate and implement solutions using leading-edge cloud technologies and methods considering key factors such as their long-term effectiveness (service delivery and cost), practicality, technical limitations, and criticality. Must be a team player who is both compassionate for learning and firm on standards to effectively deliver ML solutions.
You will be expected to
• Support company’s decision-making using machine learning, statistical analysis, programming, and data visualization.
• Mine and explore data from a variety of sources to extract business value in collaboration with stakeholders and subject matter experts.
• Iterate with agility using exploratory data analysis and model prototyping communicating results in a clear manner.
• Apply machine learning solutions (e.g., supervised, unsupervised, and semi-supervised) to structured and unstructured.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understand and collect business requirements to proactively identify opportunities leveraging Jabil’s data.
Requirements:
• Minimum of 4 or more years working as a Data Engineer/Scientist.
• Strong problem-solving skills and critical thinking.
• Experience in data engineering for Advanced Analytics using AWS stack.
• Experience using Python and Spark for data manipulation at an enterprise level.
• Experience with machine learning techniques (supervised, unsupervised, and semi-supervised learning) and the ability to operationalize machine learning knowledge.
• Expertise of statistics including (but not limited to) regression, distributions, hypothesis testing, correlations, and model uncertainty.
• Excellent written and verbal communication skills.
• Adaptable and driven to learn and master new technologies and tools.