Data Scientist IV - Marketing - Collaborative Environment

JOB TITLE: Data Scientist IV - Marketing
LOCATION: 100% Remote
DURATION: 12 months
PAY RANGE: $64-74/Hour
TOP 3 SKILLS:

• SQL
• Python (Python preferred), or R
• Modeling

COMPANY:
Our client is a Fortune 500 multi-national technology company headquartered in Menlo Park, CA.

Job Description:
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.

Job 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.
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to efficient business executions.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Study the performance of marketing campaigns using robust and state of the art measurement techniques, statistical or econometric models and ensure accountability of marketing
• 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:

• 3+ 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 Python (preferred), R, or Stata 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.

Must-have Skills:

• SQL
• Python (Python preferred), or R
• Modeling

Nice-to-have Skills:

• Experiments
• Casual inference
• Marketing experience

Education/Experience:
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. Preferred: Masters or Ph.D. Degree in a quantitative field.
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