aid data science lead.

Experience: A minimum of 14 years of professional experience in data science, machine
learning, and advanced analytics.
 Educational Background: A Master's or Ph.D. in Computer Science, Statistics,
Mathematics, Engineering, or a related quantitative field is strongly preferred.
 Technical Proficiency:
o Expert-level knowledge of statistical methods, machine learning algorithms (e.g.,
regression, classification, clustering, time-series forecasting), and deep learning
frameworks (e.g., TensorFlow, PyTorch).
o Strong programming skills in languages such as Python or R.
o Solid foundation in computer science fundamentals, including data structures,
algorithms, and software engineering principles.
o Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms
(e.g., AWS, Azure, GCP). Industry Expertise:
o Proven experience in the CPG and/or supply chain domain.
o Hands-on experience with analytics processes such as inventory forecasting,
demand planning, and trade promotion optimization. Consulting & Client-Facing Skills:
o Demonstrated ability to lead design thinking and solutioning workshops with ...