Senior Data Scientist, Product Analytics

1 Month ago • 5 Years + • Business Analysis

Job Summary

Job Description

Moloco is a machine learning company that empowers organizations to grow and unlock the value of their first-party data in performance advertising. The Senior Data Scientist, Product Analytics will drive performance improvement in the core Ads product by understanding the ads ecosystem and customer needs, providing data-driven insights and scientific solutions. Responsibilities include deep-dive analysis to influence R&D decisions, building metrics to measure campaign health, and evaluating ads system health. The role requires strong problem-solving skills, statistical knowledge, programming experience with Python/R and SQL, and excellent communication abilities. Fluency in English and Korean is also required.
Must have:
  • Distinctive problem-solving skills
  • Ability to articulate product questions
  • Extracting signals from large datasets
  • Statistics: experimental design, hypothesis testing
  • Programming: Python, R, SQL, Pandas, Dplyr
  • Build positive relationships with team and stakeholders
  • Fluency in English and Korean
Good to have:
  • Ad-tech experience
Perks:
  • Innovative benefits
  • Global benefits overview available

Job Details

About Moloco:

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms. 

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube.

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv and Tokyo.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.

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!

The Impact You’ll Be Contributing to Moloco: 

Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, and provide the data driven insight and scientific solutions.

The Opportunity:

Here's what you'll be working on:

  • Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.
  • Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers
  • Evaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component.

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

  • Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time.
  • Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations.
  • Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
  • Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
  • Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
  • Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
  • 5+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
  • Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
  • Fluency in English and Korean.

Strong Candidates May Also Have:

  • Ad-tech experience.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here

Moloco Values

  • Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. 
  • Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. 
  • Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. 
  • Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. 

Additional Resources: 

Equal Opportunity: 

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression, and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

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