Job Details

Overview

Tatari is on a mission to revolutionize TV advertising. We work with 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 includes former founders and senior leaders from fast-rising startups and established tech companies.

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 data problems. You will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications, and contribute to a reliable online experience for our customers. This role collaborates closely with our technology and client-facing teams to optimize our business and redefine marketing analytics for TV and streaming video media buying.

Responsibilities

• Collaborate with engineering and technology teams to build predictive models, measurement algorithms, and deep analyses to optimize our business.
• Apply state-of-the-art machine learning techniques to build predictive models and recommender systems.
• Apply a deep understanding of statistics and probability to improve existing algorithms.
• Contribute to developing and maintaining internal analysis software libraries.
• Develop new intellectual property.
• Analyze large amounts of data to identify relationships and trends, translating them into actionable insights for our product team and clients.
• Report 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 and open-ended problem-solving; able to identify what's important to focus on for effective approaches
• 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
• Compensation: 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
• 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 (in-office position)

Benefits

• Compensation: $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
• 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 (in-office position)

At Tatari, we believe in 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.

Note: This role is currently based in San Francisco, Los Angeles, or New York with a hybrid WFH policy until further notice.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the self-identification survey. Completion is voluntary. Any information provided will be confidential and used for EEO compliance purposes.

As set forth in Tatari's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under applicable law.

#J-18808-Ljbffr