Who are we?
Pixalate helps Digital Advertising ecosystem become a safer and more trustworthy place to transact in, by providing intelligence on "bad actors" using our world class data. Our products provide benchmarks, analytics, research and threat intelligence solutions to the global media industry. We make this happen by processing terabytes of data and trillions of data points a day across desktop, mobile, tablets, connected-tv that are generated using Machine Learning and Artificial Intelligence based models.
We are the World's #1 decision making platform for Digital Advertising. And don't just take our word for it -- Forrester Research consistently depends on our monthly indexes to make industry predictions.
What does the media have to say about us?
- Harvard Business Review
- Buzz Feed
- Forbes
- NBC News
- CNBC
- Business Insider
- AdAge
- AdAge
- CSO Online
- Mediapost
- Mediapost
- The Drum
- Mediapost
- Mediapost
How is it working at Pixalate?
We believe in Small teams that produce high output
Slack is a way of life, short emails are encouraged
Fearless attitude holds high esteem
Bold ideas are worshipped
Chess players do really well
Titles don't mean much, you attain respect by producing results
Everyone's a data addict and an analytical thinker (you won't survive if you run away from details)
Collaboration, collaboration, collaboration
What will you do?
- Work with other data scientists, product managers and engineers, and apply your expertise in quantitative data analysis to create innovative solutions.
- Provide technical support for the existing products and help resolving client tickets.
- Discover new types of fraud and develop algorithms for early detection and prevention.
- Create visualizations and effectively communicate your research insights to the product management and marketing teams.
- Create and test statistical hypotheses.
- Support data-driven decision making.
What are the minimum requirements for this role?
- BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative field.
- 2-3 years of professional experience in data science, or other domain-relevant internships.
- Fluency in SQL and ability to write complex queries to extract large amounts of data.
- Fluency in Python (experience with R is a plus).
- Concrete understanding of machine learning algorithms (clustering, regression, and classification) and basic probability and statistics.
- Experience with data science tools and frameworks such as scikit-learn, Keras, Tensorflow, H2O, Numpy, Pandas, Jupyter, etc.
Preferred qualifications:
- MS or PhD degree in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative field.
- Excellent verbal and written communication skills, with high attention to detail.
- A team player who can collaborate with engineers, product managers, and other cross-functional teams.
- Ability to initiate and drive projects to completion with minimal guidance.
- Demonstrable ability to quickly understand new concepts.
- Ability to communicate the results of analyses in a clear and effective manner to a senior audience
- Concrete understanding of the Internet protocols and Computer Networking fundamentals.
- Experience in Internet advertising and advertising fraud.
- Experience building risk/anomaly detection models.
- Experience with Amazon AWS, and UNIX CLI.
- Experience programming in Scala, Java, and/or C/C++ is a plus
What do we have to offer?
Located in sunny Palo Alto and Playa Vista, CA the core of Pixalate's DNA lies in innovation. We focus on doing things differently and we challenge each other to be the best we can be. We offer:
Experienced leadership and founding team
Casual environment (as long as you wear clothes, we're good!)
Flexible hours (yes, we mean it - you will never have to sit in traffic anymore!)
FREE Lunches! (You name it, we've got it)
Fun team events
High performing team who wants to win and have fun doing it
Extremely Competitive Compensation
OPPORTUNITY (Pixalate will be what you make it)
by via developer jobs - Stack Overflow
No comments:
Post a Comment