Data Scientist at Retina
🇺🇸 United States › California › Santa Monica (Posted May 19 2019)
About the company
At Retina, we enable businesses to tell their own data stories. We use data science and machine learning to predict the future buying behavior of consumers, and the types of actions that businesses can take around those predictions. These sophisticated models are then turned into digestible strategic insights and actionable marketing segments.
Our founding team has led data science teams at Facebook and Paypal, built and sold companies, and built the core tech behind several startups. We are venture-funded and looking for the next few passionate team members who want the opportunity to transform the world.
As a Data Scientist, you will be working closely with internal data science, product and our engineering team to build scalable data products. You will be creating algorithms that analyze customer data to compute Customer Lifetime Value using (but not limited to) Machine Learning, Reinforcement Learning and Optimization techniques. You must have an expertise in end-to-end data analytics processes from ETL to executive level presentations.
The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product. You are also excited about startups and doing things that have never been done before. You are smart and effective at getting work done and are continuously coming up with ideas on how to make products better.
Apply your expertise in quantitative analysis, data mining, and the presentation of client data to see beyond the numbers and understand how our users interact with both our consumer and business products.
Partner with Product and Engineering teams to solve problems at scale and identify trends and opportunities for the company.
Inform, influence, support, and execute our product decisions and product launches.
Taking care of our team members is critical to our success. We believe that if we hire the smartest people and invest in them, a high-performing team -- and subsequently a high performing company -- will flourish.
Competitive Salary and Equity
Work with the Directly with Founders to Growth a Startup from Ground Up
Health (Covered at 99% of Employee, 75% of dependents)
Vision & Dental Coverage
Setup Your Own Kit (Buy what you need to get a comfortable work environment)
401k Retirement Savings Plan
Gym and Education Expense
Meal & Coffee Card
Free Snacks and Drinks
Professional Development Expenses (Conferences & Courses)
Public Transport Commuter Help
Relocation Costs (if applicable)
Skills & requirements
2+ years experience doing quantitative analysis at a top tier tech company
BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field from top tier institution (Graduate degrees preferred)
Experience in SQL
Development experience in Python, R, Julia or a comparable language
Ability to communicate the results and insights with product and leadership teams
Understanding of statistics (e.g., hypothesis testing, regression, signal-to-noise ratio, confidence bounds)
Other machine learning jobs that might be interesting
Deep Learning Internship (Summer 2021) - Tesla (January 2021)
Palo Alto, California, United States
Autopilot - Deep Learning Internship (Summer 2021)
As an Intern with the Autopilot AI team you will research, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for autonomous driving. A typ...
Senior Machine Learning Engineer - Stoneridge (January 2021)
Novi, Michigan, United States
The Senior Machine Learning Engineer will develop state-of-the-art vision object detection and tracking algorithms based on Stoneridge’s reward winning product “MirrorEye”. Machine learning and deep learning are the major tools for the perception algorit...
Machine Learning Engineer - SoFi (January 2021)
San Francisco, California, United States
Staff Data Scientist (Machine Learning Engineer)
San Francisco, California
The Invest Data Science team is looking to add data scientists / ML engineers (combined roles), who will help shape Invest product develo...
NLP Data Scientist - Aisera (January 2021)
Palo Alto, California, United States
AI / ML Data Science · Palo Alto, California
There are many examples of disruption in the consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations...
Machine Learning Engineer Intern - Mailchimp (January 2021)
Atlanta, Georgia, United States
The Mailchimp internship program started in 2013. In the past 7 years, we’ve had the privilege of bringing in some of the brightest, most talented college students from around the country to spend time with our teams. Our 12 week internship program was design...
Not the machine learning job you are looking for?
Browse all machine learning jobs
and we're sure you will find a suitable one!