Quantitative Researcher
7 days ago
OpenBrand is one of the world's most respected market intelligence companies. Our data and market research products give manufacturers, resellers, and industry players a competitive edge across a wide range of industries. We help marketing, product, sales, and pricing teams make more informed decisions and stay competitive in a rapidly changing market environment.
In this role, you will leverage your strong data analysis and modeling skills to build data products that offer our clients valuable insights into their performance and the competitive landscape. You will work with diverse 1st and 3rd party data sources-including email receipt data, clickstream data, web scraped data, and more-to develop insights into consumer purchasing behavior and brands' market share performance. You will apply skills in predictive modeling, statistics, and panel projection methodologies to build estimates of product performance and the drivers of that performance.
We are seeking a highly analytical individual with a strong background in data science and a passion for innovative problem-solving. The successful candidate will have experience working with large datasets and optimizing data analysis processes at scale, as well as proficiency in database structures and SQL. Additionally, the ideal candidate will have experience with programming languages and modeling packages such as Python, R, or Spark, including libraries like scikit-learn, NumPy, and pandas.
Benefits:
- Medical, Dental, Vision, and Life Insurances
- Retirement Plan: 401(k)
- Flex Time Off Plan
- Paid Parental Leave
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