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Job Details

Data Scientist, Global Supply at Cepheid



Job Location


Work Experience

5 Years - 10+ Years

Required Qualifications

Bachelor of Engineering / Bachelor of Technology / M. Tech / Master of Engineering /

Job Description

Responsible for developing production/supply plans that take into account forecasts, availability of material, and manufacturing capacity. Is responsible for identifying and maintaining the appropriate planning parameters in ERP systems to optimize subassembly production and raw material supply plans. May also be responsible for providing materials to manufacturing areas based on planned production schedules and for the appropriate shipping of finished goods to various distribution centers utilizing material handling equipment in support of management policies for customer delivery and inventory levels. Includes planners and inventory control roles.

Critical thinker who enjoys data analytics, creativity, naturally curious, and is a problem solver utilizing database and analytical skills. High growth company building analytics function - requires flexibility, holistic thinking, time prioritization, execution of rapid transformations, and capability of effectively influence. Responsible for complex cross-functional programs to successful and timely decision points supporting world-class supply chain operations.

Accountable for moving analytics to strategy within a program or model working with business partners. Responsible for automation opportunities around execution and reporting. Develop multi-echelon analytics for targeted business deliverables. Valued candidates have a breadth of work experience or educational coursework to ensure the highest level of partnership and capability to understand business requirements and anticipating solutions.


  • Must be able to accommodate flexible working hours in order to work with USA counterpart
  • Concise communication complex and controversial analytics and findings to non-technical business stakeholders using clear language, visualization and other means
  • Develop and facilitate organizing and conducting relevant, concise, statistical figures, presentations from big data with concise recommendations for solutions around clear patterns and trends
  • Develop reporting, data systems, and new process to meet business needs
  • Lead and participate in cross-functional projects within a formalized Project Management Organization (PMO) structure.


Education or Experience (in years):

  • Bachelor's degree with 10 years of experience OR Master’s degree with 5 years of experience

Knowledge and skills:

  • Enthusiastic and friendly team player who can motivate colleagues and contribute to shared objectives in efforts to accomplish departmental goals.
  • Ability to translate analytics to implications, action, and strategy through influence and presentation
  • Technical expert in broad supply chain areas, supporting management, creative new solutions, and execution of wide breadth of tactical execution and strategic initiatives
  • Persistence, statistics, and software engineering skills - necessary for understanding data biases and for debugging logging output.
  • Strategic multi factory global analytics from large data sets of structured and unstructured data from disparate global data systems and sources
  • Data expertise will enable design experiments and data-driven decision making
  • Analytics and model deployment experience and value-stream mapping
  • Data warehouse knowledge, and data cleaning and validation to ensure completeness and uniformity
  • Member of the cross-functional project team to ensure successful on-time, high quality, and UAT deliverables.
  • Knowledge of enterprise resource planning (ERP), supply chain concepts, and quality metric methodology
  • Lean awareness and ideally experience of structured continuous improvement (Daily Management, Standard Work, Problem Solving, Kaizen, and Gemba Walks.)


  • Prefer B.S. Statistics, Mathematics, Computer Science, or Industrial Engineering with 3-5 yrs of experience
  • Preferred: MBA, MS, SQL database and querying languages, Python, R, VBA, Power BI, Tableau


  • Complete all assigned and required training satisfactorily and on time

Danaher Corporation Overview

Danaher is a global science & technology innovator committed to helping our customers solve complex challenges and improve quality of life worldwide. Our world class brands are leaders in some of the most demanding and attractive industries. A globally diverse team of 81,000 associates, we are united by our culture and operating system, the Danaher Business System, which is our competitive advantage. In 2015, we generated $20.6B in revenue and our market cap exceeded $60B. We are #149 on the Fortune 500 and our stock has outperformed the S&P 500 by more than 2,000% over 20yrs.

At Danaher, you can build a career in a way no other company can duplicate. Our brands allow us to offer dynamic careers across multiple industries. We’re innovative, fast-paced, results-oriented, and we win. We need talented people to keep winning. Here you’ll learn how DBS is used to shape strategy, focus execution, align our people, and create value for customers and shareholders. Come join our winning team.

Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The “EEO is the Law” poster is available here.

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