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

Thermo Fisher Scientific

Data Scientist II applying advanced analytics and AI solutions at Thermo Fisher Scientific. Contributing to innovative projects in data science and AI to solve complex business challenges.

Posted 6/17/2026full-timeCarlsbad • California • 🇺🇸 United StatesJuniorMid-Level💰 $75,900 - $101,200 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Join our team of data scientists at Thermo Fisher Scientific, where you'll contribute to innovation through advanced analytics and AI solutions.
As a Scientist II in Data Sciences, you'll apply technologies to solve complex business challenges across our organization.
You'll work on diverse projects ranging from predictive modeling and machine learning to generative AI applications, collaborating with teams to deliver solutions that advance our mission of enabling customers to make the world healthier, cleaner, and safer.
In this role, you'll design and implement analytical models, perform exploratory data analysis, and develop data-driven insights that inform strategic decision-making.
You'll have the opportunity to work with advanced tools and technologies while contributing to meaningful projects that have real-world impact.
This position offers professional growth opportunities and the chance to work with skilled professionals in a collaborative environment focused on innovation.

Requirements

What you’ll need

Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Marketing Analytics, or related quantitative field; OR Bachelor's degree with 2+ years of relevant experience
2+ years of experience in analytics, data science, marketing analytics, customer insights, or related field
Strong proficiency in Python and SQL
Experience performing exploratory data analysis and developing actionable business insights
Experience with statistical modeling, predictive analytics, and machine learning techniques
Knowledge of experimental design and A/B testing methodologies
Experience working with large datasets in cloud-based environments
Strong communication skills with the ability to translate technical findings into business recommendations
Experience partnering with cross-functional stakeholders in matrix organizations

Benefits

Comp & perks

A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLpredictive modelingmachine learningexploratory data analysisstatistical modelingA/B testingexperimental designdata-driven insightsanalytics

Soft Skills

strong communication skillscollaborationcross-functional partnershipstrategic decision-making

Certifications

Master's degree in Data ScienceBachelor's degree in related quantitative field