Full stack software engineer supporting ASU Library's mission with software that enhances digital resources. Collaborating with faculty and IT to improve research, teaching, and learning.
About the role
- Lead Analyst utilizing machine learning for data-driven insights in the retail/CPG sector. Collaborating across teams to enhance decision-making through advanced analytics and AI-driven solutions.
Responsibilities
- Develop, implement, and maintain advanced analytical models using machine learning algorithms and statistical techniques.
- Apply descriptive analytics to uncover trends, patterns, and insights from large and complex datasets, using Tableau dashboards and reports where necessary.
- Perform customer, product, and transaction-level analysis within retail/CPG datasets.
- Assist in the design and implementation of LLM-based embedding-powered solutions like summarization and classification.
- Develop and support simulation applications where required.
- Work directly with senior client stakeholders, collaborate with cross-functional teams, and contribute end-to-end on solution development.
- Write efficient SQL queries (Google BigQuery preferred) and build data transformation workflows in Python.
- Ensure data quality, harmonization, and consistency across analytical projects.
- Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance.
- Stay updated on industry trends in machine learning and AI and contribute to innovation within the team.
- Mentor junior team members and contribute to knowledge sharing initiatives.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field.
- 4–6 years of experience in advanced analytics, data science, machine learning, or a related field.
- Effective verbal and written communication skills with client-facing experience.
- Proficiency in SQL (Google BigQuery preferred) and Python.
- Experience with data visualization tools such as Tableau.
- Familiarity with Retail/CPG/Tech industry and experience working with product, transaction, and customer-level data.
- Strong data structuring and analytical problem-solving skills with an inquisitive mindset.
- Self-driven, collaborative, and adaptable in a fast-paced environment.
Benefits
- Medical, vision, and dental insurance
- Life insurance
- Short-term and long-term disability insurance
- 401k
- Flexible paid time off
- At least 15 paid holidays per year
- Paid sick and safe leave
- Paid parental leave
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