Data Scientist

Danaher Corporation

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$74,000–$111,000 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $152k
This role $92k
$57k most similar roles pay here $232k

This role pays less than 99% of similar roles. Most pay $126,800–$177,968 — the shaded band above. At the midpoint, this role pays about $92k versus about $152k for comparable roles.

Based on 240 similar postings.

Employer

About Danaher Corporation

Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.

Danaher Corporation currently has 26 open roles on FindRole.

Listed pay typically runs $116,000–$159,500 across 21 roles with salary data.

Most-posted roles

View all roles at Danaher Corporation

At a glance

TL;DR · Data Scientist

As a Data Scientist at Phenomenex, part of Danaher’s Information Technology Department, you will work closely with data engineering and business intelligence teams to develop statistical and machine learning models that drive decision-making. Your day-to-day responsibilities include building, validating, and monitoring analytical models using Python (pandas, NumPy, scikit-learn) and SQL, performing exploratory analysis, feature engineering, and integrating results into reports or dashboards. You will collaborate with stakeholders to translate business questions into actionable insights, ensuring that your work supports Phenomenex’s mission of advancing scientific analysis and improving human health through innovative analytical chemistry solutions. This role requires a bachelor’s or master’s degree in a quantitative field, 2+ years of experience in data science, proficiency in Python and SQL, and strong problem-solving skills to communicate findings effectively across teams.

What you'll do

  • Develop and maintain analytical models using statistical and machine learning techniques.
  • Execute end-to-end analytics lifecycle from data preparation to model validation.
  • Leverage Python, SQL, and enterprise-scale data platforms for analysis.
  • Translate complex analytics into actionable business insights and communicate findings.
  • Collaborate with stakeholders to define success metrics and integrate outputs.

What we're looking for

  • Bachelor’s or master’s degree in a quantitative field with 2+ years of experience
  • Proficiency in Python (pandas, NumPy, scikit-learn) and SQL
  • Strong knowledge of statistical methods and machine learning techniques
  • Experience developing and maintaining analytical models for business forecasting
  • Ability to translate analytics into actionable insights for stakeholders
  • Familiarity with the end-to-end analytics lifecycle from data preparation to validation
  • Excellent problem-solving skills and effective collaboration in cross-functional teams

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