Expression of Interest: Senior Data Scientist (Growth Data Science)

Expression of Interest

We’re always looking to connect with exceptional talent interested in joining Moloco. This posting allows you to share your profile for future opportunities, even if there isn’t a current role aligned with your experience.

If you’re excited to build, scale, and innovate in a fast-moving environment, we encourage you to submit your resume. 

The Impact You’ll Be Contributing to Moloco: 

• Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Growth Data Scientist, you will provide data products, e.g. raw data, campaign facts, and growth insights to help customers improve campaign performance and maximize their business goals with Moloco.
• Develop, maintain and improve global experiment process to scale standard and bespoke experiments with Moloco customers

The Opportunity: 

• Moloco Growth Data Scientist contributes 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, and 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.     

How Do I Know if the Role is Right For Me? 

• Minimum Requirements: Master's degree or equivalent practical experience.
• Proficient in launching, running, optimising, and landing experiments from end to end
• 5 years and above of experience working with statistical packages (e.g., Python, SQL). 
• Fluent in speaking and writing both Chinese-Mandarin and English.
• Statistics: must have strong knowledge and experience in experimental design,  hypothesis testing, and various statistical analyses such as regression or time-series analysis.
• Programming: experience in Python and SQL is required.
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills, with the ability to present information and analysis results effectively to technical and less technical stakeholders (including Moloco end clients).
• Ability to build positive relationships within the 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: 

• Ph.D. degree in a quantitative discipline.
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product and business 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 complete 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, re-engagement, and overall campaign strategy and performance. 

How You Work: 

Your ethos is ownership

• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.

You collaborate early, instead of solving in isolation.

• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.

You fall in love with the problem, not the solution

• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.

You prioritize customer impact and take action to make it real.

• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.