Senior Data Scientist, Product Analytics

About MOLOCO

Moloco’s goal is to make the digital economy more equitable and profitable by delivering advanced machine learning to companies of all sizes. With Moloco’s machine learning platform for growth and performance, every app publisher and online retailer can now unlock the value of their unique, first-party data for user acquisition, retention, and monetization campaigns. 

Founded in 2013, our advanced machine learning engine powers our product portfolio. Moloco Cloud DSP enables performance marketers to quickly scale user acquisition and achieve greater lifetime value through battle-tested prediction models. Moloco Retail Media Platform enables online retailers and marketplaces to establish their own performance ads business. 

Our technology is best in class; we received the SMARTIES X silver award for Machine Learning and AI, and Moloco was named the Cross-Industry Winner for Google Cloud Customer Awards. 

The company is in hyper-growth mode and we ranked #95 in the Inc. 5000 fastest-growing private companies for 2022. We ranked #91 among Deloitte’s 2021 Fast 500 and have been certified by 91% of the company via Great Places to Work. 

It’s a great time to join this innovative team. Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Seattle, London, Seoul, Singapore, Beijing, and Tokyo. For more information, visit www.moloco.com

The Impact You'll Be Contributing to Moloco:
Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a [senior / staff] data scientist in Product Intelligence in DSA, you will:

• Develop a deep understanding of Moloco’s “performance products” like our Demand Side Platform (DSP) and how they fit in Moloco’s ML-based performance advertisement offerings.
• Create effective product health metric frameworks to guide strategy and operations.
• Partner closely with Product Managers (PM), ML, Engineering, and Data Science (DS) to generate product insights and user analysis to influence product design and identify opportunities for improvement.
• Effectively communicate and present metrics, commentary, and recommendations to multiple levels of stakeholders including regular exposure to C, VP levels. 
• Create custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
• Utilize appropriate statistical tools and techniques to address ambiguous product problems: identify and explain trends; design and interpret A/B tests; and move findings from correlation to causation.  

Minimum Requirements:

• Bachelor's degree or equivalent practical experience.
• 8+ years of experience working with statistical packages (e.g., R, Python, SAS, Stata, MATLAB).
• Strong data transformation and querying skills in SQL.
• Statistics: solid foundation and experiences in statistics including binomial and normal distribution, estimation and hypothesis testing and linear model (ANOVA and regression).
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders.
• Ability to build positive relationships within data science & analytics community, as well as with our business stakeholders and clients., 
• Work effectively with cross-functional and cross-cultural partners.
• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.

Preferred:

• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
• 8+ years of work experience in data analytics related fields.
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
• Ability to seek out new business questions and effectively scope projects to support client growth, reengagement and overall campaign strategy and performance. 
• Work in Advertising, with an understanding of ad exchanges, mobile measurement partners (MMP), advertiser success metrics, etc.
• Experience using Google Cloud tools for data analysis and visualization (e.g., Looker, BigQuery).

Some of the total rewards we offer…

• Physical Health & Wellness benefits, to support our Moloco employees in making their health and wellness a priority.
• Flexible PTO, so long as you promise to come back!
• Learning & Development - All regular full-time employees receive an annual learning and development stipend of $2,500 per calendar year.
• Commuter Benefit - All full-time employees are eligible to participate in country-specific transportation benefits.
• WFH - We provide an allowance of $1,000 (based on local currency) to outfit your home office regardless of hybrid or permanently remote employees. 
• Communications reimbursements for phone and internet.
• Got Lunch? We provide country specific lunch stipend benefits
• Virtual initiatives and events to keep you connected with your colleagues.
• Generous Employee Referral Bonus program.
• And much more. Ask your recruiter for a full list of total rewards and benefits specific to your region!

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

Our Compensation And Benefits (for California & New York State Residents Only)

Base Compensation Range: Min $134,024 - Max $201,036

In accordance with California & New York state law, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills and abilities. We also offer a competitive benefits package.

REF #: 3007