Crystal Equation
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https://www.crystalequation.com
https://www.crystalequation.com
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Data Scientist III
Onsite, Remote, or Hybrid
Summary:
The main function of the Data Scientist in marketing is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Responsibilities:
Skills:
Education/Experience:
Pay range is $67 - $72 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.
Data Scientist III
Posted: 06/03/2024
2024-06-03
2024-08-01
Job Number: 39246
Job Description
Data Scientist III
Onsite, Remote, or Hybrid
Summary:
The main function of the Data Scientist in marketing is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Responsibilities:
- Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts on the world and on our business
- Study the performance of marketing campaigns using robust and state of the art measurement techniques, statistical or econometric models and ensure accountability of marketing
- Generate and test hypotheses and analyze and interpret the results of marketing campaigns
- Develop quantitative analysis, tools, and models to support marketing decision making
- Analytical areas might include (but not limited to): audience segmentation, A/B, multivariate experimental design and hypothesis testing, marketing optimization, advanced survey analysis, regressions and measurement sciences (causal inference, observational data analysis, bias mitigation, matching techniques etc.)
Skills:
- 5+ years of experience in data analysis, data science, marketing analytics, or similar quantitative fields, applying experimentation methods to test various hypotheses for various marketing outcomes such as customer segmentation, causal marketing measurement and media optimization
- Experience finding, cleaning, and manipulating data to build data sets. Experience working with large datasets.
- Experience with SQL, Hive, Presto, Hadoop, or other data querying languages
- Experience using R or Python or a similar scripting language for statistical or econometric modeling
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on relevant topics.
Education/Experience:
- Bachelors of Science degree or Master of Science degree in computer science or in a relevant field
Pay range is $67 - $72 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.