Senior Data Science

Responsibilities related to data science and machine learning in a manufacturing context. Key tasks include collaborating with cross-functional teams to create impactful data solutions, analyzing large datasets to enhance business metrics, designing and implementing machine learning models, developing scalable computer vision solutions, and maintaining web applications for data initiatives. Additionally, it involves interpreting data insights, communicating findings to stakeholders, and delivering presentations with visualized data and business conclusions. ESSENTIAL DUTIES AND RESPONSIBILITIES: Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems Researching and developing scalable computer vision and machine learning solutions for complex problems Create and maintain web applications to support data science initiatives and facilitate data-driven decision making Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement Prepare and deliver presentations with data visualizations and business conclusions   REQUIRED: Bachelor’s degree in  Data Science, Computer Science, Computer Engineering, Software Engineering, and  Robotics & AI Engineering  with relevant industry or academic experience in data analytics 2 - 5 years of experience in Data Science field PREFERRED: Knowledge of AI/ML model development and lifecycle management. Experience with cloud-based solutions and collaborative tools (e.g., Github, Docker). Experience in Computer Vision and image processing techniques. Experience in web development. Familiarity with advanced machine learning techniques (e.g., neural networks, NLP, deep learning). Ability to communicate complex technical concepts to non-technical stakeholders. Proactive approach to learning and implementing emerging technologies. SKILLS:  Proficiency in  SQL, Big Data platforms, and cloud services (e.g., AWS) Strong background in applied statistics, statistical modeling, and practical experience with ML and AI algorithms. Required:  Python, Computer Vision, ML model development Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker) Strong communication, analytical, and problem-solving skills. #LI-SW1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  jobs.accommodations@wdc.com  to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to  WD Ethics Helpline  or email compliance@wdc.com . ... (truncated, view full listing at source)