Senior Data Scientist
Core
Posted on 3/10/2023
INACTIVE
Moloco

501-1,000 employees

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.
AI & Machine Learning
Data & Analytics

Company Stage

Series C

Total Funding

$529.3M

Founded

2013

Headquarters

Redwood City, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

26%

2 year growth

117%
Locations
Seattle, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
Data Structures & Algorithms
SQL
Pandas
CategoriesNew
AI & Machine Learning
Data & Analytics
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
  • 5+ 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
  • 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