Data Scientist

Job Summary

The Data Scientist I is a statistical analyst proficient in various analytical disciplines including linear and constraint programming, modeling, simulation, time series analysis, text analytics, multivariate analysis, and other predictive analytics techniques. This role involves querying and analyzing large datasets using traditional database tools and "big data" tools for unstructured data to derive actionable insights and solutions.

Essential Duties And Responsibilities

• Work collaboratively with a data science, business intelligence, and/or business analytics team to develop predictive and/or statistical models and algorithms or statistical engines for integration into key business applications (e.g., InControl 2. 0, R, Azure ML, Minitab, Python, SAS, IBM SPSS).
• Adhere to guidance from senior data scientists and/or IT technical leads on model creation as needed.
• Participate in team stand-ups, meetings, and brainstorming sessions.
• Commit to customer service, anticipating and addressing customer needs promptly and efficiently, ensuring that customer issues are resolved effectively and swiftly.
• Create dashboards and bespoke analyses in collaboration with business/functional stakeholders to support data-driven decision-making.
• Align with the business and IT strategic direction, working closely with business/functional stakeholders to drive data-driven decisions.
• Perform other duties as assigned.

Job Qualifications

• Knowledge Requirements:
• Advanced Statistics, operations research/management, mathematics, or business analytics with relevant coursework or project experience in analytical methods such as linear, mixed linear, constraint programming, modeling, simulation, time series analysis, pattern recognition, queuing theory, multivariate analysis, and other predictive analytics techniques.
• Strong written and verbal communication skills, effective teamwork, and the ability to work under pressure.
• Familiarity with non-relational data frameworks and experience with big data applications and machine learning applications.
• Highly motivated and creative, capable of thinking "outside the box," and enthusiastic about learning new technologies and algorithms to solve business problems.
• Education Requirements:
• Bachelor's degree or higher in Data Science, Mathematics, Computer Science, Computer Science and Engineering, Statistics, Actuarial Science, etc.

Note: Be aware of fraud attempts. 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 email. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigation (www.ic3.gov), the Federal Trade Commission (www.identitytheft.gov), and/or your local police department.