Senior Data Scientist, Test and Learn

Senior Data Scientist, Test and Learn at Danaher

At Danaher, our purpose is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Utilizing secure data and networks, innovative partnerships, and passion, our solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Why Join Us?

Our decency quotient (DQ) drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees, respecting their individual strengths, views, and experiences. We believe that our differences enable us to be a better team—one that makes better decisions, drives innovation, and delivers superior business results.

About the Role: Senior Data Scientist, Test and Learn

The Services team is a key differentiator for Danaher, providing cutting-edge products and services that help our customers thrive. Focused on thinking big and scaling quickly around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base including issuers, acquirers, and merchants.

Responsibilities

  • Drive the research of new functionality within an analytics platform used by the world’s largest organizations to make critical, multi-million-dollar decisions.
  • Work cross-functionally with product management to understand and solve customer needs requiring novel analytic solutions.
  • Collaborate with engineering teams to help guide the implementation of your analytic ideas into our products.
  • Work with leaders across the business unit to identify problems and drive innovative solutions.

Qualifications

  • 5+ years of experience in data science OR equivalent graduate coursework.
  • Strong technical aptitude and ability to understand complex technical concepts, coupled with strong business acumen.
  • Experience applying innovative analytics to high volume datasets to influence business decisions.
  • Proficiency in R, Python, and SQL.
  • Deep understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, ensemble methods, and deep learning.
  • Experience with big data technologies such as Databricks, Hadoop, or similar platforms.
  • Hands-on experience with TensorFlow, Keras, or other machine learning libraries.
  • Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.
  • Exceptional project management and problem-solving skills, with a focus on setting ambitious and achievable goals.
  • Enthusiastic about opportunities to collaborate with and mentor teammates.
  • Preferred degree(s) in statistics, mathematics, computer science, engineering, or related fields.

Our Commitment to You

Danaher is an inclusive equal opportunity employer. We consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law.

In the US or Canada, if you require accommodations or assistance during the application or recruitment process, please email [email protected]. Do not include any medical or health information in your email. The Reasonable Accommodations team will respond promptly.

Corporate Security Responsibility

As part of Danaher, you will be responsible for maintaining the confidentiality and integrity of information accessed. Abide by our security policies, report any suspected security violations, and complete all mandatory security trainings as required.

Compensation and Benefits

We offer a competitive base salary based on location, experience, and other qualifications. You may be eligible for an annual bonus or commissions, depending on the role. Our benefits package for full-time employees generally includes:

  • Insurance (medical, prescription drug, dental, vision, disability, life insurance).
  • Flexible spending account and health savings account.
  • Paid leaves (16 weeks new parent leave, up to 20 paid days of bereavement leave, 10 annual paid sick days).
  • 10 or more annual paid vacation days, 5 personal days, 10 annual paid U.S. observed holidays.
  • 401k with a best-in-class company match, deferred compensation for eligible roles.
  • Fitness reimbursement or on-site fitness facilities.
  • Eligibility for tuition reimbursement and gender-inclusive benefits.

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