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.
