Data Science Engineer

Who We Are:

At Avnet, relationships matter. We are a global, FORTUNE ® 500 technology distributor and solutions company that delivers design, supply chain and logistics expertise to customers at every stage of a product’s lifecycle. Our employees have a front row seat to the latest innovations shaping the world we live in and the future we share. We’re driven to help our customers around the world succeed and we do so by earning the trust of some of the biggest names in technology.

Working at Avnet means being a part of a global team. We work collaboratively and with integrity, doing business the right way. For more than a century, we have partnered together to help our customers, suppliers and teammates realize the transformative possibilities of technology. Experience what’s next at Avnet!

This role is an onsite opportunity at our HQ in Phoenix, AZ.

As a key member of the Avnet® Digital Supply Chain Innovation team, the Data Science Engineer will play a pivotal role in driving data-driven decision-making and unlocking the value of our data assets. This role requires a deep understanding of digital supply chain dynamics, coupled with advanced data analysis, modeling, engineering, forecasting, and AI expertise. The candidate will collaborate closely with business stakeholders to identify opportunities for data-driven solutions, build predictive models, and develop actionable insights to optimize supply chain operations.

The Data Science Engineer will also be responsible for designing, developing, and maintaining robust data pipelines and infrastructure, leveraging cloud technologies and CI/CD practices to ensure efficient and reliable data delivery. Additionally, the candidate will apply advanced machine-learning techniques to build forecasting models and develop AI-driven solutions to address complex business challenges.

Principal Responsibilities:

• Data Acquisition, Engineering, and Pipelines:
  • Source and integrate data from various internal and external sources.
  • Cleanse, transform, and prepare data for analysis and modeling.
  • Develop data pipelines and automation for efficient data ingestion.
  • Design, build, and maintain scalable data pipelines using cloud platforms (Databricks, AWS, Snowflake, etc.).
  • Implement CI/CD pipelines for data engineering processes, ensuring code quality and efficient deployment.
  • Optimize data ingestion, transformation, and loading processes for performance and cost efficiency.
  • Develop data quality checks and monitoring mechanisms.
• Advanced Analytics, Forecasting, and AI:
  • Employ statistical and machine learning techniques (e.g., regression, classification, clustering, time series analysis, forecasting models) to build predictive models.
  • Conduct exploratory data analysis to uncover patterns, trends, and anomalies.
  • Develop and implement data-driven solutions to address complex business challenges.
  • Develop and implement AI-driven solutions to optimize supply chain processes and decision-making.
  • Utilize forecasting techniques to predict future trends and patterns in supply chain data.
  • Evaluate and select appropriate machine learning algorithms and techniques for different forecasting problems.
• Data Visualization and Communication:
  • Create compelling visualizations to communicate complex insights to both technical and non-technical audiences.
  • Develop interactive dashboards and reports to enable data-driven decision making.
• Model Deployment and Monitoring:
  • Deploy models into production environments and monitor their performance.
  • Refine models based on performance metrics and evolving business needs.
• Cloud Infrastructure and Management:
  • Manage and optimize cloud resources (compute, storage, networking) for data engineering workloads.
  • Implement security best practices for data and infrastructure.
• Collaboration and Stakeholder Management:
  • Partner with business stakeholders to understand their needs and translate them into data-driven solutions.
  • Communicate complex technical concepts effectively to non-technical stakeholders.

Job Level Specifications:

• Strong proficiency in programming languages (Python, R, or similar) and data science tools (e.g., Pandas, NumPy, Scikit-learn).
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Proven ability to build and deploy predictive models in production environments.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong problem-solving and analytical skills with a data-driven mindset.
• Excellent communication and interpersonal skills.
• Strong proficiency in cloud platforms (Databricks, AWS, Snowflake, or similar) and their data engineering capabilities.
• Experience with CI/CD tools and practices for data pipelines.
• Knowledge of data warehousing and data lake concepts.
• Experience with ETL/ELT processes and tools.
• Strong proficiency in machine learning algorithms and techniques, including time series forecasting and deep learning.
• Experience in applying AI to solve complex business problems.
• Knowledge of forecasting methodologies and tools.
• Ability to evaluate the performance of forecasting models and refine them accordingly.
• Background and experience in SAP are a plus.
• Able to manage activities across multiple projects simultaneously.

Work Experience:

• Typically 5+ years with bachelor's or equivalent.

Education and Certification(s):

• Bachelor's degree or equivalent experience from which comparable knowledge and job skills can be obtained.

What We Offer:

Our employees work hard to live our values and help us grow. Our total rewards strategy supports Avnet’s ability to attract, engage, develop, and reward our employees, while promoting a diverse and inclusive environment. We offer competitive compensation and benefit programs — from time away and flexible working arrangements to programs supporting employee well-being and opportunities to give back to your community.

• Generous Paid Time Off

• 401K and Pension Plan

• Paid Holidays

• Family Support (Paid Leave, Surrogacy, Adoption)

• Medical, Dental, Vision, and Life Insurance

• Long-term and Short-term Disability Insurance

• Health Savings Account / Flexible Spending Account

• Education Assistance

• Employee Development Resources

• Employee Wellness, Leadership Development and Mentorship Programs

Benefits listed above may vary depending on the nature of your employment with Avnet.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills.

Avnet is an Equal Opportunity Employer committed to providing equal opportunities to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex (including pregnancy), age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other characteristic protected by law. This policy of non-discrimination also applies to religious dress and grooming practices. Avnet will accommodate employee religious dress standards and grooming practices that do not result in undue hardship for the Company.  If you are interested in applying for employment with Avnet and need special assistance or an accommodation to apply for a posted position contact our Human Resources Service Center at (888) 994-7669.