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Danaher Corporation Data Scientist - Service Research & Development in Marlborough, Massachusetts

We are looking for a Data Scientist to work with our expert Services and Digital and R&D team across the world. Do you have a passion for Big data and Data science? Then we would love to hear from you.

What you’ll do

  • Collecting Service data through means such as analyzing current sources or by setting up and managing new studies

  • Transferring data into a new format to make it more appropriate for analysis

  • Creating new, experimental frameworks to collect Service data

  • Building tools to automate data collection

  • Searching through large data sets for usable information (ServiceMax, Salesforce etc.)

  • Creating reports and presentations for business uses

  • Correlating similar data, identify patterns and trends in data sets to find actionable results.

  • Understanding the business problems and analyzing the data by using appropriate Statistical models to generate insights

  • Application of various machine learning algorithms and statistical Modeling like decision trees, text analytics, natural language processing (NLP), supervised and unsupervised, regression models, deep learning and clustering.

  • Use Machine learning along with real-time usage and performance data to optimize product performance, quality and reliability

  • Create digital twins using 3D software and run simulations to measure product reliability in varying conditions to enable enhanced service design and predictive maintenance.

Who you are

  • Bachelor’s degree (or higher) in computer science, math, software engineering, statistics, data science or a related technical field

  • ·Knowledge of at least one of the programming languages like SQL, Python, R, and Scala

  • ·Familiarity with business intelligence tools (e.g., Tableau)

  • ·Strong mathematics skills (e.g., statistics, algebra)

  • ·Experience with big data technologies such as Hadoop and Spark

  • ·Advanced ability to perform exploratory data analysis

  • ·Experience with common data science toolkits

  • ·Working knowledge of statistics

  • ·Exceptional technical writing skills

  • ·Ability to communicate complex data in a simple, actionable way

  • ·Ability to visualize data in the most effective way possible for a given project or study

  • ·Analytical and problem-solving skills

  • ·Experience with machine learning and AI

  • ·Familiarity with data management tools

  • ·Ability to work independently and with team members from different backgrounds

  • ·Excellent attention to detail

Who we are

Whatever your role, we bring purpose and challenge into our everyday work. If you are driven to make the world a better place thanks to science and medicine, you’ll feel right at home here. If you’re flexible, curious and relentless, you’ll belong. If you are excited about a global culture, this can be the place to further your career.

Want to know more? Experience life at Cytiva on our Careers website (https://jobs.danaher.com/global/en/cytiva) , Instagram channel (https://www.instagram.com/cytiva/) and LinkedIn page (https://www.linkedin.com/company/cytiva/) !

Cytiva is global life sciences leader with over 7000 associates across 40 countries who are dedicated to our mission to advance and accelerate therapeutics. As a trusted partner to customers that range in scale and scope, Cytiva brings efficiencies to research and manufacturing workflows, ensuring the development, manufacture and delivery of transformative medicines to patients.

Cytiva is part of the Danaher family of companies, a global science and technology innovator committed to helping customers solve complex challenges and improving quality of life around the world.

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 (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .