Position: Senior Data Scientist
Company: Jabil
Experience required: 3y
English level: upper

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.