Sr. Data Scientist

1 day ago

Batangas City, Philippines TE Connectivity Full time

1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Responsibilities Has a strong impact on Manufacturing Technology Development Roadmap-driven development projects. Drives for excellence in data science solutions to enable innovation for Stamping, Plating, Molding, Assembly, and Measuring Systems technologies and methods. Translate business problems into data science solutions and communicate findings to stakeholders. Lead the design, development, and deployment of machine learning models and statistical analyses. Work with large, complex datasets to extract meaningful insights and identify trends. Develop predictive models, optimization algorithms, and recommendation systems. Collaborate with data engineering to ensure scalable data pipelines and model integration. Communicate complex findings to non-technical stakeholders using data visualizations and a clear narrative. Apply broad knowledge of lean-sigma methodologies to resolve problems of diverse scope and complexity, requiring analysis/evaluation of data. Collaborate cross-functionally, leading projects or project steps within broader project teams, e.g., tooling capability to produce lead frames with sub-micron tolerances, measuring system capability for sub-micron molded parts warpage. Maintain and adhere to all appropriate specifications, regulatory, and customer requirements. Work under general direction and deliver results that directly impact the achievement of department objectives. Participate in determining objectives and approaches to assignments. Provide training and mentorship to other employees, often providing input for performance evaluations. Provide input to the objectives and goals of the subfunction or business unit. What your background should look like Minimum 5 years of experience in data science, machine learning, or applied statistics. Bachelor’s Degree required (Computer Science, Statistics, Mathematics, or a related field), Master’s preferred. Strong foundation in statistical inference, hypothesis testing, and experimental design. Strong understanding of statistical modeling, machine learning algorithms, and data visualization. Proficiency in Python, R, SQL, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Demonstrates thorough knowledge of data analytics tools, e.g., Minitab, JMP, Power BI, Tableau. Deep knowledge of general engineering tools (LEAN or 6-sigma) such as DoE, FMEA, QFD, etc. Tight tolerance electrical connector experience is a plus. Fluent in English (read, write, and speak). Broad knowledge of stamping, plating, assembly, and molding processes for connectors and sockets is a plus. Practical application of MS Office software (Word, Excel, PPT, Project, Outlook). General project management skills and experience – Ability to work on several projects at once. Based in Batangas, Philippines; willing to travel up to 25% average. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology, Analyst, and Project Management Industries Appliances, Electrical, and Electronics Manufacturing and Manufacturing Makati, National Capital Region, Philippines #J-18808-Ljbffr

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