Cepheid Logo

Cepheid

Data Scientist

Posted 4 Days Ago
Remote
Hiring Remotely in USA
74K-111K Annually
Junior
Remote
Hiring Remotely in USA
74K-111K Annually
Junior
The Data Scientist develops statistical and machine learning models to support data-driven decisions, collaborating with stakeholders and ensuring analytical results are actionable.
The summary above was generated by AI

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Phenomenex, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. 

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

Phenomenex isn’t your typical scientific company. Founded nearly 40 years ago, Phenomenex is a global technology leader committed to developing novel analytical chemistry solutions that solve the separation and purification challenges of researchers, advancing the future of scientific analysis and investigation, ensuring the quality of essentials like your food, water, shampoo, and even cold medication. Be part of our global success and together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

Learn about the Danaher Business System which makes everything possible.

The Data Scientist is responsible for developing and applying statistical, machine learning, and advanced analytical solutions to support data-driven decision-making. This role works closely with data engineering, business intelligence, and functional stakeholders to translate business questions into analytical models and insights. The position focuses on applied analytics and machine learning, supporting the development, validation, and use of models in enterprise environments. The Data Scientist applies strong analytical rigor and practical modeling skills to ensure results are accurate, interpretable, and actionable for business stakeholders.

This position reports to the Senior Manager, BI and Analytics and is part of the Information Technology Department and will be fully remote.

In this role, you will have the opportunity to:

  • Develop and maintain analytical models: Apply statistical and machine learning techniques (e.g., regression, classification, time series) to build, validate, monitor, and improve models that support business forecasting and decision-making.
  • Execute the end‑to‑end analytics lifecycle: Perform data preparation, exploratory and statistical analysis, feature engineering, model validation, and result interpretation using enterprise-scale data platforms.
  • Leverage core technical tools and data platforms: Use Python (pandas, NumPy, scikit‑learn) and SQL to analyze structured and semi‑structured data, work with relational databases, and support production-ready analytical solutions.
  • Translate analytics into business insight: Partner with stakeholders to define analytical questions and success metrics, clearly communicate findings, and integrate outputs into reports, dashboards, or downstream systems.
  • Collaborate, document, and continuously improve: Work effectively in cross‑functional teams, document methodologies and assumptions, contribute to shared code and best practices, and stay current on evolving analytical techniques and tools.

The essential requirements of the job include:

  • Bachelor’s or master’s degree in a quantitative field with 2+ years of hands-on experience in data analysis, data science, or applied analytics.
  • Proficiency in Python and SQL, working knowledge of statistical methods and machine learning techniques, and familiarity with the end-to-end analytics lifecycle from data preparation through validation and interpretation.
  • Strong problem-solving skills with the ability to clearly explain analytical results, translate insights into business value, and collaborate effectively in a cross-functional environment

It would be a plus if you also possess previous experience in:

  • experience with time-series forecasting, optimization, or anomaly detection is a plus

Phenomenex, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.

At Phenomenex we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Phenomenex can provide.

The salary range for this role is $74,000 - $111,000 This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.

This job is also eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.


For more information, visit www.danaher.com.


Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.


The U.S. EEO posters are available here.


For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here.


We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or [email protected].

HQ

Cepheid Sunnyvale, California, USA Office

904 Caribbean Drive, Sunnyvale, CA, United States, 94089

Similar Jobs

2 Days Ago
Remote or Hybrid
2 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and delivery of AI/GenAI solutions: build and deploy scalable ML models, manage data pipelines and infrastructure, mentor teams, ensure data quality and compliance, and collaborate with stakeholders to drive AI-driven business outcomes.
Top Skills: AWSDatabricksDeep LearningGCPJavaMachine Learning LibrariesAzureNatural Language ProcessingNeural NetworksPythonSnowflake
2 Days Ago
Remote or Hybrid
2 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, build, and deploy scalable AI and GenAI solutions by wrangling data, developing ML models, and maintaining data infrastructure. Collaborate with clients, perform complex analyses, apply NLP and deep learning techniques, and mentor junior team members to deliver production-ready AI systems.
Top Skills: AWSC++DatabricksGCPAzureNatural Language ProcessingNeural NetworksPythonReinforcement LearningScikit-LearnSnowflakeTensorFlow
7 Days Ago
Remote
United States
Junior
Junior
Healthtech • Payments • Software
The Data Scientist 1 role involves cleaning and analyzing complex datasets, developing statistical models, and communicating insights through data visualizations. Responsibilities include collaborating with teams, maintaining data quality, and keeping up with advancements in the field.
Top Skills: AWSAzureGCPMatplotlibPower BIPythonRSeabornSparkSQLTableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account