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

Thermo Fisher Scientific • Carlsbad, CA

4d • Onsite

About The Position

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: 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

• 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

Nice To Haves

• Experience in marketing analytics, customer analytics, behavioral analytics, or commercial analytics
• Experience with customer segmentation, propensity modeling, churn prediction, lead scoring, or customer lifetime value modeling
• Familiarity with digital marketing measurement and attribution methodologies
• Experience with Databricks, Spark, Azure, AWS, or similar cloud platforms
• Experience with Power BI, Tableau, or other data visualization tools
• Knowledge of CRM platforms such as Salesforce and marketing platforms such as Adobe Experience Cloud
• Experience supporting commercial, sales, or marketing organizations
• Familiarity with healthcare, life sciences, biotechnology, or B2B commercial environments
• Experience with Generative AI applications for customer insights and marketing effectiveness

Responsibilities

• Design and implement analytical models
• Perform exploratory data analysis
• Develop data-driven insights that inform strategic decision-making
• Collaborate with teams to deliver solutions

Benefits

• 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
• Short- and long-term disability
• Competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level