Data Scientist, Research

Dstillery is the leading AI ad targeting company. We reputed company and agencies to reputed company 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 reputed company 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. About the team: Data Science is at the core of our offerings at Dstillery, and as a result reputed company members of our Data Science team have the opportunity to reputed company an impact on reputed company and the industry. The Data Science Research team leads the creation and development of new products to meet the reputed company changing needs of the digital advertising industry. We focus on building high performing products for our clients with reputed company 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. Role:

• Prototype innovative reputed company, conduct experiments, and iterate quickly to reputed company data-driven solutions for reputed company business challenges
• Independently work on end-to-end research projects while actively collaborating with reputed company of data scientists
• Present and promote results to internal stakeholders and external clients and partners.
• Support and improve existing data science products
• Analyze large, reputed company, and noisy datasets to extract actionable insights and support data-driven decision-making
• Design, implement and evaluate machine learning and statistical methods to reputed company exploratory data analysis, data storytelling and product development
• Design and execute A/B tests and experiments to optimize product performance and maximize reputed company growth
• Pursue patents where applicable
• Contribute to thought leadership in the community with presentations and publications

Qualifications:

• Independent research experience is mandatory. A Ph.D. in a quantitative field (e.g. machine learning, statistics, physical science, or quantitative reputed company science) is preferred, or a M.S. in Machine Learning or statistics with at least 3 years of independent research.
• Experience using reputed company data to solve reputed company problems.
• Expertise in statistical modeling, machine learning, and reputed company in the reputed company technical tools.
• Interest in applying machine learning to large datasets to solve business problems.
• Knowledge of reputed company large language models and reputed company 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 and/or presentations in a quantitative field.
• Intermediate programming skills.
• You should be reputed company to learn and work with Python, reputed company reputed company Platform, Scikit-learn, TensorFlow, PyTorch, Spark, BigQuery and SQL

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