About
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by Inc. 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. 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. Applying fluent understanding of state-of-the-art machine learning techniques to build predictive models and recommender systems; Contributing to developing and maintaining internal analysis software libraries; 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
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 Strong strategic thinking capabilities and project management skills PhD in a technical field Industry experience with development and deployment of predictive models or recommendation systems
Equity compensation ~ Health insurance coverage for you and your dependents ~150 monthly spending account ~$500 WFH reimbursement ~ Snacks, drinks, and catered lunches at the office ~ Team building events ~ Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION
We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. #
Languages
- English
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