Data Scientist - Marketing Analytics

Job expired!

Data Scientist - Marketing Analytics Job at UL Solutions

Join Our Hybrid Team: Embrace the flexibility of a hybrid work schedule, requiring on-site presence for three days a week in one of our offices located in Northbrook, IL, Vancouver, WA, or RTP, NC.

Role Overview:

As a Data Scientist in our dynamic team, you will be instrumental in handling and analyzing complex datasets to derive meaningful insights. Your tasks will include:

  • Processing, cleansing, and verifying data integrity for analysis.
  • Performing ad-hoc analysis and presenting results clearly.
  • Applying machine learning techniques to large datasets to extract insights.
  • Using data mining with advanced methods.
  • Enhancing data collection to improve analytics systems.
  • Incorporating third-party data to enrich customer datasets.
  • Employing modeling and evaluation strategies to identify patterns and make predictions.

Who You Are:

Candidates should possess a minimum of a bachelor’s degree in Data Analytics, Data Science, Computer Science, or a related scientific field, along with:

  • Strong Python coding abilities and problem-solving skills.
  • Experience in querying databases and using statistical languages.
  • Proficiency in various machine learning techniques and their practical benefits.
  • Competence in data visualization tools and strategies.
  • Ability to contribute effectively in an Agile environment.
  • Superior interpersonal and communication skills.

Why UL Solutions:

At UL Solutions, we're dedicated to making the world a safer, secure, and sustainable place, which has been the cornerstone of our mission for 129 years. By joining us, you will work with talented individuals in a nurturing environment, where every day brings new challenges and opportunities. Here’s what we offer:

  • A competitive salary range of $80,000 - $110,000 based on experience, plus a potential 10% annual bonus.
  • Comprehensive health benefits including medical, dental, and vision plans.
  • Generous paid time off policies and retirement savings options.
  • Continuous learning and development opportunities at UL University.

Join Our Team:

If you're eager to tackle big challenges and make a real impact, apply to be a part of our team at UL Solutions. Application deadline: 11/7/2024. Learn more about us by visiting .

Keywords: #LI-SG2 #LI-Hybrid