JOB SUMMARY
The Data Scientist I is a statistical analyst well versed in various analytical disciplines, such as linear and constraint programming, modeling, simulation, time series analysis, text analytics, multivariate analysis, and other various predictive analytics techniques. This role will have experience querying and analyzing large data sets using traditional structured data base tools and “big data” tools for unstructured data to generate actionable insights and solutions.
ESSENTIAL DUTIES AND RESPONSIBILITIES
● Work as part of a data science, business intelligence, and/or business analytics team to produce predictive and/or statistical models and algorithms or statistical engines for input to key business applications. (e.g. InControl 2.0, R, Azure ML, Minitab, Python, SaS, IBM SPSS)
● Take direction from senior data scientists and/or IT Technical Leads on model creation where required.
● Participate in team stand ups, meetings and brainstorming activities.
● Demonstrates a commitment to customer service; anticipates, meets, and exceeds expectations by solving problems quickly and effectively; making customer issues a priority.
● Build dashboards as well as bespoke, custom analysis.
● Work on teams with business/functional stakeholders to help make data driven decisions
● Understand and embrace the business and IT strategic direction.
· May perform other duties and responsibilities as assigned.
JOB QUALIFICATIONS
KNOWLEDGE REQUIREMENTS
● Advanced Statistics, operations research/ management, mathematics or business analytics with experience, courses, or project work in an analytic methods such as linear, mixed linear, constraint programming, modeling, simulation, time series analysis, pattern recognition, queuing theory, multivariate analysis, and other various predictive analytics techniques
● Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus.
● Ability to draw conclusions from data and prescribe actionable and measurable activities.
● Highly motivated and creative, thinking “out of the box”.
● Familiarity with non-relational data frameworks.
● Experience with big data applications and machine learning applications.
● Strong team mentality, interpersonal and communications skills
● Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required.
BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in.
Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.
Accessibility Accommodation If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to [email protected] with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
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Skills Required
- Advanced statistics, operations research or management, mathematics, or business analytics knowledge
- Experience, coursework, or project work in analytical methods such as linear programming, constraint programming, modeling, simulation, time series analysis, pattern recognition, queuing theory, multivariate analysis, or predictive analytics
- Strong written and verbal communication skills
- Ability to work effectively in teams and under pressure
- Ability to draw conclusions from data and prescribe actionable, measurable activities
- Familiarity with non-relational data frameworks
- Experience with big data applications and machine learning applications
- Strong interpersonal and communication skills
- Ability to learn new technologies and algorithms to solve business problems
- Multilingual capability
Jabil Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jabil and has not been reviewed or approved by Jabil.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, with medical, dental, vision, prescription coverage, and HRA/HSA plan options appearing consistently across role materials. Wellbeing support is also included via EAP access and additional wellbeing-oriented time such as mental-health days in some U.S. postings.
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Retirement Support — Retirement offerings include a 401(k) with company match and an Employee Stock Purchase Plan, which together strengthen long-term savings potential. Additional financial upside is supported in some roles through profit sharing and performance/quarterly bonus structures.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle add-ons extend beyond core insurance, including tuition reimbursement, commuter benefits, pet insurance, adoption assistance, and employee assistance resources. Community-oriented benefits such as a paid Day of Service can add perceived non-cash value alongside standard rewards.
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What We Do
Jabil is a product solutions company providing comprehensive design, manufacturing, supply chain and product management services.
