Scientist II, Data Science – Behavioral Marketing Analytics & Customer Insights

Thermo Fisher

Quick summary

Work type
On-site
Location
Carlsbad, CAPleasanton, CA
Salary
$75,900–$101,200 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $89k
$59k most similar roles pay here $238k

This role pays less than 99% of similar roles. Most pay $129,843–$211,200 — the shaded band above. At the midpoint, this role pays about $89k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Thermo Fisher

Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment

Thermo Fisher currently has 9 open roles on FindRole.

Listed pay typically runs $130,000–$170,950 across 6 roles with salary data.

Most-posted roles

View all roles at Thermo Fisher

At a glance

TL;DR · Scientist II, Data Science – Behavioral Marketing Analytics & Customer Insights

As a Scientist II in Data Sciences at Thermo Fisher Scientific, you will join a team dedicated to advancing innovation through data-driven solutions. Your role involves designing and implementing analytical models for predictive modeling, machine learning, and generative AI applications. You will perform exploratory data analysis and develop actionable insights that inform strategic decisions across the organization. This position requires strong proficiency in Python and SQL, along with experience in statistical modeling, A/B testing, and working with large datasets in cloud-based environments like AWS or Azure. Additionally, you should be skilled at translating technical findings into business recommendations for cross-functional stakeholders. The role offers opportunities to work on impactful projects within a collaborative environment focused on innovation in the healthcare, life sciences, and biotechnology sectors.

What you'll do

  • Design and implement analytical models to solve complex business challenges.
  • Perform exploratory data analysis on large datasets using advanced tools.
  • Develop predictive analytics and machine learning solutions for diverse projects.
  • Translate technical findings into actionable business insights and recommendations.
  • Collaborate with cross-functional teams to deliver innovative AI applications.

What we're looking for

  • Master's degree in a quantitative field or Bachelor's with 2+ years of relevant experience.
  • Strong proficiency in Python and SQL for data analysis.
  • Experience in exploratory data analysis and developing actionable business insights.
  • Knowledge of statistical modeling, predictive analytics, and machine learning techniques.
  • Ability to work with large datasets in cloud-based environments.
  • Strong communication skills to translate technical findings into business recommendations.
  • Experience partnering with cross-functional stakeholders in matrix organizations.

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