Data Scientist

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’re looking for a customer-obsessed data scientist to join our data team. You will be responsible for applying advanced statistical and machine learning techniques to solve complex business problems, translating data into actionable insights, and driving data-informed decisions across the organization.

• Develop and implement models: design, build, test, and deploy machine learning models to solve business challenges
• Exploratory data analysis: conduct in-depth statistical analysis and visualizations to discover patterns, trends, and hidden insights in the data
• Collaborate with Data Architects to develop robust data pipelines and create impactful features for model improvement
• Communicate complex results, methodologies, and recommendations to both technical and non-technical stakeholders through presentations and data visualizations
• Work closely with cross-functional stakeholders to translate business needs into technical requirements and deploy models into production systems
• Drive innovation: stay up to date with the latest advancements in machine learning, deep learning, and statistical modeling, and propose new technologies or methods where appropriate.

• 4+ years of experience in data analytics, data science, or related field
• Master’s degree in quantitative fields (Computer Science, Statistics, Mathematics, Engineering, or equivalent).

• Technical skills:
  Strong proficiency in SQL; expertise in Python and/or R;
  Solid understanding of core machine learning principles, algorithms, and model validation techniques; experience with data visualization tools like Tableau, Power BI
• Statistical analysis: deep knowledge of statistical hypothesis testing, experimental design, and multivariate analysis
• Communication:
  Excellent written and verbal communication skills with ability to convey technical findings to non-technical audience

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender‑related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics.

We also prohibit harassment of any individual on any of the characteristics listed above. Our non‑discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the “Know…