Senior Marketing Data Scientist - Remote, ML & Experiments

Crystal Equation Corporation; Bell (CA); Hybrid; USD 105,000 - 112,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision/life insurance

401K

Parental leave

Job summary

Crystal Equation Corporation is seeking a Data Scientist IV to work in a remote capacity. You will collaborate with cross-functional teams to drive data-driven marketing decisions, build measurement frameworks, and optimize advertiser strategies worldwide.

The role emphasizes experimentation, ML, and causal inference to maximize growth across business audiences. You will leverage statistics and advanced analytics to deliver impactful insights and drive revenue growth, with autonomy to influence

Qualifications

• 6+ years of experience in data science or related field.
• Bachelor's degree required; quantitative discipline preferred.
• Familiarity with ML or causal inference concepts is a plus.
• Experience with testing and statistics behind testing is desirable.

Responsibilities

• Collaborate with cross-functional stakeholders to drive data-driven decision-making for marketing.
• Develop and implement measurement frameworks to assess marketing campaigns' impact on perception, engagement, and revenue growth.
• Dive deep on strategic analyses to optimize connections with advertisers globally and with product, growth, marketing, sales, and leadership teams.
• Create data science solutions to maximize growth among business audiences, including targeting and dynamic content personalization.

Skills

Descriptive analysis

ML concepts

Statistics

Experimentation

Causal inference

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

R

Job description

Crystal Equation Corporation is seeking a Data Scientist IV to work in a remote capacity. You will collaborate with cross-functional teams to drive data-driven marketing decisions, build measurement frameworks, and optimize advertiser strategies worldwide.

The role emphasizes experimentation, ML, and causal inference to maximize growth across business audiences. You will leverage statistics and advanced analytics to deliver impactful insights and drive revenue growth, with autonomy to influence