Staff Data Scientist
Core Sponsored Ads, Manager
Confirmed live in the last 24 hours
Locations
San Carlos, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
R
Pandas
SQL
Python
Requirements
- Master's degree in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent research experience
- 8+ years of work experience in data science related fields
- 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
- Machine Learning: must have deep understanding of ML algorithms (i.e. deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and its development, validation, and evaluation
- Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr) are required
- 2+ years of tech lead (TL) or tech lead manager (TLM) experience leading multiple multi-quarter data science projects, supervising data scientists while interacting with partner Eng, Biz, and Product stakeholders
- PhD degree in a quantitative discipline
- Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations
- 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
Responsibilities
- Data Analysis and research: analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve Moloco's complex ML and bidding system
- Simulation and Modeling: validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling
- Experimentation and Causal Inference: developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making
- As a Tech Lead Manager (TLM), you will also:
- Build and manage a team of talented data scientists with the ability to not only keep up with, but also pioneer, in this space
- Collaborate with leadership so that your team's work directly impacts company strategy and direction
- Communicate with other engineering teams to build the best mobile advertising platform in the world
- Working cross-functionally with business and technical teams to support campaign management and team communication
ML-powered advertising insights
Company Overview
Moloco is on a mission to make the digital economy more transparent, equitable, and profitable by making advanced machine learning accessible to companies of all sizes.
Benefits
- Comprehensive health and wellness: Competitive health, dental, vision and life insurance (covered at 100% for you) and your family.
- Professional development: Teach yourself something new and get reimbursed each year for your professional development.
- Food and snacks: Enjoy lunch on us. We bring lunch in for employees everyday, In addition, our micro-kitchens are filled with healthy snacks and beverages for you to enjoy
- Paid parental leave: Our maternity/paternity leave plan also has you covered when you welcome a new child into your family.
- Unlimited vacation: We encourage team members to take time off to relax and recharge with our flexible paid time off policy.
- Financial benefits: We provide stock options and generous 401k/pension with an employer match that helps you prepare for your future.