Technologist, Data Engineering

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today s needs and tomorrow s next big ideas With a rich history of groundbreaking innovations in Flash and advanced memory technologies our solutions have become the beating heart of the digital world we re living in and that we have the power to shape Sandisk meets people and businesses at the intersection of their aspirations and the moment enabling them to keep moving and pushing possibility forward We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation performance and quality Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations With our global reach we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward We are seeking a highly experienced and visionary Senior Data Scientist at the Technologist level to lead strategic AI ML and GenAI initiatives This role demands deep technical expertise leadership in complex projects and a passion for innovation in data science and advanced analytics Key Responsibilities Lead the end-to-end data science lifecycle problem definition data acquisition model development deployment and monitoring Architect and implement scalable AI ML solutions using modern frameworks cloud platforms and MLOps best practices Drive GenAI initiatives including fine-tuning prompt engineering and integration into enterprise applications Provide strategic direction and thought leadership on advanced analytics adoption across the business Mentor coach and upskill a team of data scientists and engineers foster a culture of innovation and collaboration Partner with cross-functional teams engineering product factory operations IT to translate business needs into data-driven solutions Ensure model robustness fairness interpretability and compliance with ethical AI standards Design and oversee experimentation frameworks A B testing causal inference statistical modeling for data-driven decision making Stay ahead of emerging trends in AI ML and big data technologies evaluate their potential for business impact Present insights models and strategies to senior leadership and non-technical stakeholders in clear actionable terms Qualifications MS ME MTech PhD in Data Science Statistics Computer Science or related fields 15 years of experience in data science AI ML or advanced analytics including leadership in complex projects Proven expertise in Machine Learning Deep Learning and Statistical Modeling Optimization techniques for solving complex high-dimensional problems GenAI applications including architectures like RAG fine-tuning and LLMOps Synthetic data generation and handling highly imbalanced and high-volume datasets GenAI applications including architectures like RAG fine-tuning and LLMOps Experience with anomaly detection pretrained transformers and custom embedding models Strong proficiency in Python and SQL for data wrangling analysis and modeling Hands-on experience with TensorFlow PyTorch Pyspark and related AI ML frameworks Deep understanding of Big Data platforms e g Spark Hadoop distributed databases cloud data warehouses Experience in MLOps model deployment monitoring versioning and lifecycle management Strong knowledge of data architecture pipelines and feature engineering at scale Familiarity with data visualization tools Tableau Power BI Matplotlib Plotly Excellent communication and stakeholder management skills with the ability to influence at senior levels Additional Information All your information will be kept confidential according to EEO guidelines