AI Scientist developing AI solutions and prototypes for Salesforce's applied science team. Collaborating with product and engineering to innovate and enhance AI - driven customer experiences.
About the role
- Data Scientist at Jabil working with complex datasets to derive actionable insights and drive improvement initiatives. Collaborating with engineering and leadership teams for effective problem-solving.
Responsibilities
- Collaborate with customers and internal stakeholders to understand business challenges and define data requirements.
- Read and interpret production process documentation (e.g., flow charts, FMEAs) and adapt raw data to reflect real-world production processes.
- Build and validate queries to extract meaningful insights from complex datasets.
- Characterize data distributions using statistical tools (mean, median, standard deviation, skewness, etc.).
- Use programming logic tools (e.g., Boolean logic: AND, OR, NOR, NAND, XOR; If > Then statements) to support data analysis and automation.
- Analyze and interpret data to identify trends, patterns, and opportunities for improvement.
- Transform raw data into actionable knowledge using advanced analytics techniques.
- Develop predictive models and simulations using methods such as time series analysis, multivariate analysis, constraint programming, and pattern recognition.
- Create compelling dashboards and visualizations using Power BI, Kibana, and Elastic Search.
- Use Minitab to validate statistical tests between samples and support quality improvement initiatives.
- Leverage advanced Excel functions and features for data manipulation and reporting.
- Present business cases and recommendations to technical and non-technical audiences.
- Create and maintain project timelines and budget plans to support platform evolution.
- Interface with all levels of the organization, from shop floor personnel to upper management.
Requirements
- Bachelor’s degree in a technical field, such as Electrical Engineering, Information Technology, Data Science, or a related discipline.
- A combination of education and equivalent experience may be considered on a case-by-case basis.
- Strong background in test or quality engineering is a must.
- Proven ability to listen to customer needs, define complex requirements, and deliver data solutions.
- Experience with Power BI, Kibana, Elastic Search, and open-source analytics tools.
- Proficiency in Office Suite, including advanced Excel and Minitab.
- Solid understanding of server/rack assembly and test processes.
- Strong written and verbal communication skills; multi-lingual capability is a plus.
- Ability to work effectively in teams and under pressure.
- Demonstrated ability to build business cases and drive measurable outcomes.
- Highly motivated, creative, and capable of thinking “outside the box.”
Benefits
- N/A
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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