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Staff, Data Scientist (Ads Analytics)
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Based on California data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$92,312 / year median in California
+3% projected growth
Job Description
Metrics :
deliver a set of Key Performance Indicators, used for reporting on product adoption, usage, performance, and churn. Provide visibility into the effectiveness of the group's monetization effortsForecasting :
design and maintain inventory and revenue forecasting models as a critical component of the revenue optimization process. Assist with analyzing sales patterns to identify trends and aid financial forecastingA/B Testing :
design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations. Do this with statistical rigor and perform cohort studies to answer "why?" on test result drivers Tell aConcise Story :
At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business 'story' behind the data and test outcomes. Basic Qualifications Master's Degree in Computer Science, Electrical Engineering, Math or a closely related field 4 years of Data Scientist experience in customer-facing technology companies Expertise in experimentation and statistics Preferred Qualifications The ideal candidate has 6+ years of experience as a data scientist performing ads data analysis, ML model building and optimization, financial analysis, market research, and executive reporting. Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains. Strong SQL Python or R for statistical analysis Hive, Presto, Airflow Experience with ML modeling design, deployment, and optimization Strong statistics background Experience in working on backend and ML systems for large-scale user-facing products Data visualization (e.g., Tableau, Qlik, Looker, Power BI) Excellent quantitative analysis skills Strong presentation and communication skills Highly organized and detail-oriented Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $152,000/year to $261,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience. General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HAS) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of Paid Time Off (PTO) a year based on the tenure 12 Paid Holidays Paid Parental leave Pre-tax commuter benefits MTV- [Free] Electric Car Charging Station General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale. Recruitment Process and Others Recruitment Process Application Review
- Phone Interview
- Onsite (or Virtual Onsite) Interview
- Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.