Head of Infra and ML Data Science

Key Skills

Algorithms, Analytical and Problem solving, Data Analytics, Data science techniques, Deep Learning, Effective communication skills, Leadership, Machine learning techniques, MATLAB Programming, Pandas, Presentation skills, Python Programming, R Programming, SAS, SQL, Statistics

Job Description

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 #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. 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, 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 to 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:

Moloco seeks an exceptional Data Science Tech Lead Manager (TLM) to join us in building and scaling a state-of-the-art advertising platform. You will be leading the Infra and ML Data Science (Infra DS or IDS in short) team and help scale Moloco's successful Demand Side Business (DSP) business from $1B to $10B by improving performance and efficiency of the system in partnership with Product, Eng, and ML leaderships.

Infra DS team's mission is to improve product performance and efficiency via data science.” The team solves DSP infra data science problems in the following areas:

• Supply and SDK
• Creative activation DS
• Measurement and attribution DS
• Bidding and cost DS
• New products like mobile Web and Connected TV
• Machine Learning DS to work with ML Engineering teams improve ML system

The Opportunity:

• Build and manage Infra DS team (across multiple time zones based in Redwood City, Seattle, and London), managing, developing, and hiring IC, TL, and TLMs.
• Ensure your team's work directly impacts achieving product innovation, via metrics, insights, experimentations, and recommendations.
• Develop and execute IDS strategies aligning with cross-functional leads in Product, Eng, and ML to maximize IDS team's impact. 
• Be a key thought partner and leader with cross functional partners in building the best mobile advertising platform in the world.

The role is based in Seattle, WA, though we will consider candidates based in Redwood City, CA.

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

• Bachelor’s degree in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
• 6+ 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
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Ability to build positive relationships within DSA and with our stakeholders, and work effectively with cross-functional partners in a global company.
• Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.