SQLData AnalyticsData ScienceDeep LearningMathematicsNatural Language ProcessingOralPredictive AnalyticsPython
Junior (1-2 years) -
San FranciscoCA
Better data. Better outcomes.
135+ employees
AdTech Fintech Data Sharing Privacy
Role
Who you are
1+ years working as a Data Scientist Machine Learning Engineer or similar role
Bachelor's Degree in Computer Science Statistics Mathematics or a related field; advanced degree in a quantitative field preferred
Strong expertise in developing and deploying machine learning models in production
Solid understanding of underlying mathematical foundation of machine learning models
Proficiency in Python
Experience with cloud computing services or platform
Strong SQL skills
Familiarity with version control and peer code review systems
Demonstrated ability to learn and embrace new technologies applications and approaches
Willingness to roll up your sleeves and wear multiple hats across the data science team
Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences
Desirables
Advanced degree preferred
GCP preferred
What the job involves
Contribute to the development of our machine learning based Ad-Tech products driving for speedy and outstanding execution
Lead by example and define best practices for robust and efficient machine learning service development that includes data processing feature engineering model development model deployment and in-production support etc
Collaborate with a cross functional team of data scientists engineers product managers and business stakeholders to cost-effectively deliver AI services with quality efficiency and security
Contribute to the data science roadmap and priorities
Develop cutting edge data science models and algorithms to drive strategic investment decisions
We’re on a mission to build a more equitable and efficient data sharing ecosystem. People crave content, online experiences and advertising that’s relevant to them—but not at the expense of their privacy. Our journey is focused on transforming an antiquated system with new technologies to make sharing and using consumer data fair and effective.