Sr Data Scientist in San Jose, California at Danaher

Date Posted: 9/6/2019

Job Snapshot

Job Description

Job ID: COR001409

About Us

Danaher Digital is our digital innovation and acceleration center where we’re bringing together the leading strategic product and business leaders, technologists and data scientists for the common purpose of accelerating development and commercialization of disruptive and transformative digital solutions into the marketplace.

We accelerate Danaher’s digital innovation journey by partnering with Danaher operating companies (OpCos) to monetize and commercialize the potential of emerging digital trends.
Located in Silicon Valley, the heart of global innovation, Danaher Digital is ideally situated to capitalize on the digital mega trends transforming our world, including IoT, Data, AI, cloud, mobile, Augmented Reality (AR), Blockchain and other Digital frontiers.


You will be responsible for leading the vision, design and development of scalable Machine Learning (ML) solutions for Danaher’s IoT and Analytics (ML) initiatives. You will work with other Data Scientists, Data Engineers, ML engineers, and cloud Engineers and business groups and lead the development of innovative ML models for Danaher’s big data from health sciences, medical diagnostics, industrial and environmental sciences markets.  You will use your Agile experience to work collaboratively with Product Managers/Owners in geographically distributed teams.

  • Understand business challenges and propose new modeling and algorithmic solutions that leverages the latest in statistical and machine learning techniques
  • Study new data sources and find insights/correlation to investigate how data can be used to solve new business challenges. Create prototypes with data sets and provide guidance on leveraging and combining new data sources for new business insights
  • Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in diverse industrial domains
  • Provide strategic leadership in selection of platform, tools, techniques and processes in the practice of Data Science discipline
  • Work collaboratively with Product Owners/Product Managers from other business units and/or customers to translate business requirements in to technical requirements that can be answered with statistical and machine learning techniques. Guide and work with engineers and domain owners to produce the required data if not available
  • Provide mentorship to other Data Scientists in the team
  • Own and drive contemporary best practices in applying and deploying data science at scale

Job Requirements


  • Advanced degree, PhD preferred, in Engineering, Science, Mathematics, or related
  • 7+ years and expert knowledge of statistical programming languages such as R, Python, and SQL
  • 7+ years and expert knowledge of probability, statistics and machine learning theory including experience in: Clustering, Decision Trees, Logistic Regression, Dimensionality Reduction, Random Forests, and Neural Networks for prediction and recommendations
  • Must have delivered data science components as part of a commercial solution at scale
  • 5-7+ years’ experience in at least one of the following specific areas of machine learning:
    • Building production-ready image or video analysis models using Deep Learning techniques such as CNN and RNN
    • Leveraging tools such as TensorFlow or Theano
    • Building operations analytics models, including demand forecasting, inventory optimization in manufacturing or related industries
    • Building IoT analytics models, including failure diagnosis and failure prediction
    • Executing customer advanced analytics, including marketing mix analysis, segmentation, retention modeling, targeted marketing, basket analysis, and next product recommendation
    • Executing data science in the fields of life sciences, medical diagnosis, and biostatistics
  • Readiness to work with engineering teams to develop a prototypes of software products leveraging exploratory data analytics
  • Consultative experience providing technology and solution consultation to customers/clients
  • Experience and knowledge of contemporary Machine Learning and/or Analytical platforms and tools, especially from Amazon, Microsoft or ML Studios from others
  • Expert knowledge of data visualization, using tools such as Tableau or PowerBI
  • Experience developing and deploying on Amazon AWS and/or Microsoft Azure IaaS/PaaS cloud infrastructure
  • Experience working with distributed data storage and computing, including Hadoop, Spark, Cassandra, and so forth
  • Experience working with traditional databases, such as MS SQL, Teradata, MySQL, and Postgres
  • Expert knowledge of Experimental Design and Statistical Decision Theory
  • Agile mindset to jump in to a diverse set of projects
  • Ability to summarize results from analysis to a diverse set of audiences with varying background and technical skills
  • Willingness to travel up to 40% required

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, dental, 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.