Research Data Scientist

Tatari • Full-time • Los Angeles, CA, US • $130k - $160k / year • 1d ago

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.

Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo.

We’re looking for a Research Data Scientist to join the team! In this role, you will work in a fast-paced environment, with diverse data sets and technologies to produce production quality, scalable, automated solutions to a diverse set of challenging data problems. You will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology and client-facing teams to optimize our business, with the ultimate goal of helping Tatari redefine marketing analytics for tv and streaming video media buying.

Description:

Collaborating closely with our engineering and technology teams, the Data Scientist will build predictive models, measurement algorithms, and deep analyses to provide insights for optimizing our business.
Specifically, the job duties will include the following:
- Applying fluent understanding of state-of-the-art machine learning techniques to build predictive models and recommender systems;
- Applying deep understanding of statistics and probability to devise improvements to existing algorithms;
- Contributing to developing and maintaining internal analysis software libraries;
- Developing new intellectual property;
- Analyzing large amounts of data to identify relationships and trends, translating them into actionable insights for our product team and clients;
- Reporting findings, both orally and in writing

Qualifications:

Masters’ degree in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
Advanced experience in data manipulation tools (e.g., Python, pandas, pyspark, SQL)
Deep knowledge of statistics, probability, and machine learning techniques
Experience building/testing/validating ML models using state-of-the-art tech
Strong background designing and developing software to implement advanced analytic algorithms
A quick learner, with the ability to work independently and adaptably in a fast-paced environment
Strengths in creativity & open-ended problem-solving-- able to identify what's important (and not important) to focus on in order to construct effective approaches to challenging problems
Strong strategic thinking capabilities and project management skills
Strong communication skills, both written and oral
Nice to have:
- PhD in a technical field
- Industry experience with development and deployment of predictive models or recommendation systems

Benefits:

Competitive salary ($130,000 - 160,000/annually)
Equity compensation
Health insurance coverage for you and your dependents
401K, FSA, and commuter benefits
$150 monthly spending account
$1,000 annual continued education benefit
$500 WFH reimbursement
Unlimited PTO and sick days
Monthly Company Wellness Day Off
Snacks, drinks, and catered lunches at the office
Team building events
Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.