Data Scientist, Global Supply Chain in Sunnyvale, California at Cepheid

Date Posted: 10/31/2019

Job Snapshot

Job Description

Job ID: CEP004613

About Us

At Cepheid, we are passionate about improving healthcare through faster, more accurate diagnostic tests. With our GeneXpert® System, we’ve taken the most sophisticated molecular technology and packaged it into an automated, easy-to-use format that has quickly become the platform of choice worldwide. From the largest laboratories to small physician offices, our game-changing solution delivers critical answers when clinicians and patients need them most. Through strong molecular biology capabilities and ongoing product innovation, we are focused on developing tests for healthcare-associated infections, sexual health, critical infectious disease, virology, and oncology applications. Come join our vision for a better way and help make life better for us all! For more details, visit us at www.cepheid.com or follow us on Twitter (@CepheidNews).


Description

Title:                    Global Supply Chain: Data Scientist

Key Attributes:   Leads by creating valued analytics by interpreting data utilizing tools and statistical methods

                                 Facilitates automation capability and systematic solutions to enable business practices

 Proactively assesses trends and analyzes content for business relevance                             

Job Description:                         

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 highest level of partnership and capability to understand business requirements and anticipating solutions.    

  • 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
  • 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 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.)
  • Preferred: 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
  • Preferred Certifications: Data Science from Harvard, MIT, UC San Diego (edX), IBM Data Science Professional from Coursera

Job Requirements



Qualifications

Bachelor's degree in field with 5+ years of related work experience OR
Master's degree in field with 3+ years of related work experience OR
Doctoral degree in field with 0-2 years of related work experience

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, including life sciences, medical diagnostics, environmental and applied solutions. Our globally diverse team of 71,000 associates is united by a common culture and operating system, the Danaher Business System, which serves as our competitive advantage. We generated $19.9B in revenue last year. We are ranked #162 on the Fortune 500 and our stock has outperformed the S&P 500 by more than 5,200% over 25 years.
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 is committed to competitive compensation that typically has key components including base salary, variable annual incentive compensation based on personal and company performance, and long-term incentive.