Senior Data Scientist - Growth Analytics
Redwood City, California, United States
Full Time Senior-level / Expert USD 160K - 210K
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 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:
Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Senior 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.
Moloco data scientists 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
- 6+ 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 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
- 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
Preferred:
- Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)
- 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
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, 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.
Base Compensation Range:$160,000—$210,000 USDMoloco 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.
Tags: Computer Science Data analysis DevOps Engineering Machine Learning Mathematics Matlab ML models Privacy Python R SAS SQL Stata Statistics Testing
Perks/benefits: Career development Competitive pay Startup environment
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