Data Scientist, Growth Analytics
London, England, United Kingdom
Moloco
Moloco provides machine learning-based advertising solutions to drive growth for businesses of all sizes. Turn your first-party data into revenue.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 Data Scientist, Growth Analytics, you will provide data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.
Here’s what you’ll be working on:
Moloco Data Scientists, Growth Analytics contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models.
- Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
- Data Validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
Campaign Optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients. - Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.
QUALIFICATIONS
Minimum Requirements:
- Bachelor's degree or equivalent practical experience.
- 2+ years of experience working with statistical packages (e.g., R, Python, SAS, Stata, MATLAB, SQL).
- Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis.
- Programming: experience in Python (or R) and SQL is required.
- 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).
- 2+ 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.
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!
REF: 2052
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Engineering GCP Google Cloud Machine Learning Mathematics Matlab ML models Python R SAS SQL Stata Statistics Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Salary bonus Team events Wellness
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