The Impact You’ll Be Contributing to Moloco:Data Science and Analytics (DSA) is the global team of data scientists and analysts. As a Staff Data Scientist in DSA, you will derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution.

Here’s what you’ll be working on:

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.

QUALIFICATIONSMinimum 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.

Preferred:

• 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.

Some of the total rewards we offer…

• Physical Health & Wellness benefits, to support our Moloco employees in making their health and wellness a priority.
• Flexible PTO, so long as you promise to come back!
• Learning & Development - All regular full-time and part-time employees receive an annual learning and development stipend of $2,500 per calendar year.
• Commuter Benefit - All full-time employees are eligible to participate in country-specific transportation benefits.
• WFH - We provide an allowance of $1,000 (based on local currency) to outfit your home office regardless of hybrid or permanently remote employees. 
• Communications reimbursements for phone and internet.
• Got Lunch? We provide country specific lunch stipend benefits
• Virtual initiatives and events to keep you connected with your colleagues.
• Generous Employee Referral Bonus program.
• And much more. Ask your recruiter for a full list of total rewards and benefits specific to your region!

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!

Our Compensation And Benefits (for California & New York State Residents Only)

Base Compensation Range: Min $200,160 - Max $300,240

In accordance with California & New York state law, 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.

REF: 3759