Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- AI Specialist responsible for delivering AI-driven solutions optimizing network performance and operations. Partnering with experts in engineering, product, and operations to enhance efficiency across various network domains.
Responsibilities
- Closely work with the AI Lead to define organizations and customers vision, roadmap, and priorities for AI adoption and integration.
- Evaluate business needs and identify high-value AI opportunities across functions.
- Explore new AI tools, technologies, and industry trends to ensure the organization stays ahead.
- Develop, train, and optimize machine learning models using state-of-the-art algorithms and techniques.
- Process and analyze large datasets to extract meaningful features and insights.
- Build scalable ML pipelines and deploy models into production environments.
- Collaborate with data scientists, telco engineers, automation experts and product managers to understand business requirements and translate them into AI solutions.
- Monitor model performance and continuously improve accuracy, efficiency, and robustness.
- Stay updated on emerging AI/ML trends and tools to apply best practices.
- Document experiments, processes, and results clearly for knowledge sharing and reproducibility.
- Use traditional automation languages like python combined with ML models to create a final product beneficial for Network Planning and Optimization practices. Python practical experience is a must
Requirements
- Bachelor’s or master’s degree in data science, Computer Science or related fields.
- A minimum of 12+ years of industry standard experience, 6-7 years work experience in software development/engineering projects, with minimum 2-3 years of AI/ML & Data Engineering experience.
- Strong programming skills in Python and familiarity with ML libraries.
- Experience with data manipulation and transformation, big data queries and handling larger datasets.
- Understanding of ML algorithms including supervised, unsupervised, and deep learning methods.
- Experience in interfacing python tools with relational databases – Atleast 1-2 of these (Clickhouse, Presto, MySQL, Oracle, SQL Server, Postgress)
- Solid foundation in statistics and data analysis.
- Knowledge of cloud platforms (AWS, GCP, Azure) and experience with containerization (Docker, Kubernetes) is a plus.
- Strong problem-solving skills and ability to work independently and collaboratively.
- Excellent Communication skills – English.
- Spanish and Portuguese is a plus - Optional.
- Good knowledge of 5G & LTE network architecture, and network optimization is a plus – **Optional.**
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