Data Scientist, Research

Job not on LinkedIn

July 28

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Dstillery

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Artificial Intelligence • Advertising • Data Science

Dstillery is a leading AI ad targeting company that specializes in providing data-driven custom audiences to connect brands with their target consumers. Their innovative ID-free targeting technology enables programmatic ad campaigns to scale while maintaining web privacy. By leveraging AI and machine learning, Dstillery delivers predictive audience targeting without the use of cookies or IDs. They offer solutions for connected TV (CTV) and have tools like the Audience Brief Genius that streamline the audience selection process. Dstillery's services are used by many Fortune 100 companies, and they have received multiple awards for their advancements in AI and data science.

51 - 200 employees

Founded 2012

🤖 Artificial Intelligence

📋 Description

• Dstillery is the leading AI ad targeting company. • We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. • Backed by our award-winning Data Science. • Dstillery has earned 24 patents (and counting) for the AI technology that powers our precise, scalable audiences. • Our newest technology, ID-free® , is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. • Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance. • Data Science is at the core of our offerings at Dstillery, and as a result all members of our Data Science team have the opportunity to make an impact on our company and the industry. • The Data Science Research team leads the creation and development of new products to meet the ever changing needs of the digital advertising industry. • We focus on building high performing products for our clients with integrity and transparency, and we have a commitment to the development of privacy friendly solutions. • As a Data Scientist on the Data Science Research team you will play a critical role in bringing new products to market. • Prototype innovative ideas, conduct experiments, and iterate quickly to develop data-driven solutions for complex business challenges. • Independently work on end-to-end research projects while actively collaborating with a team of data scientists. • Present and promote results to internal stakeholders and external clients and partners. • Support and improve existing data science products. • Analyze large, complex, and noisy datasets to extract actionable insights and support data-driven decision-making. • Design, implement and evaluate machine learning and statistical methods to perform exploratory data analysis, data storytelling and product development. • Design and execute A/B tests and experiments to optimize product performance and maximize revenue growth. • Pursue patents where applicable. • Contribute to thought leadership in the community with presentations and publications.

🎯 Requirements

• Ph.D. in a quantitative field (e.g. machine learning, statistics, physical science, or quantitative social science) -- or -- • M.S. in computer science or statistics plus two years of professional experience. • Experience using real data to solve real problems. • Expertise in statistical modeling, machine learning, and fluency in the related technical tools. • Interest in applying machine learning to large datasets to solve business problems. • Knowledge of current large language model and generative AI tools and an interest in applying them to data products • Excellent oral and written communication skills; comfort in a client-facing role. • A track record in contributing to publications, presentations, external collaborations and service to the research community is a plus. • Intermediate programming skills, we don't expect you to already be an expert in all the various technologies we use, but you should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow, PyTorch, Spark, BigQuery and SQL