Job Details
Data Scientist, Research
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
About the team:
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.
Role:
- 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
Qualifications:
- 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.
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Freqently Asked Questions
Data Scientist, Research roles in Pearl River, LA often blend cutting-edge AI research with a focus on privacy-friendly ad tech, differing from larger hubs where roles might emphasize scale over innovation. The local market favors candidates who can independently drive projects while collaborating closely within smaller, agile teams.
Handling noisy datasets in digital advertising requires expertise in robust statistical modeling and machine learning to extract actionable insights. In Pearl River, data scientists must also balance precision targeting with privacy constraints, demanding innovative approaches to maintain data integrity amid complex, large-scale programmatic campaigns.
At Better Northshore Jobs, the Data Scientist, Research role actively explores applying large language models and generative AI to enhance data products. This includes leveraging AI for advanced data storytelling, improving model interpretability, and innovating privacy-compliant targeting solutions tailored to evolving digital advertising needs.
Essential skills include proficiency in Python, familiarity with frameworks like TensorFlow and PyTorch, and experience with cloud platforms such as Google Cloud. Mastery of statistical modeling, machine learning algorithms, and tools like Spark and BigQuery is crucial for developing scalable, data-driven ad targeting solutions.
Better Northshore Jobs stands out by embedding its data scientists deeply in product innovation, encouraging patent contributions and community thought leadership. The company’s emphasis on privacy-centric AI and programmatic ad tech provides a unique environment for research-driven impact beyond typical corporate roles.
This role offers exposure to pioneering AI technologies and high-impact projects that foster skill growth in machine learning and statistical research. Active collaboration and visibility through publications and presentations position candidates for advanced leadership or specialized research roles in the AI advertising industry.
Pearl River, LA is emerging as a niche hub for AI-driven digital advertising, with growing demand for research-oriented data scientists. While competition remains moderate compared to larger cities, candidates with expertise in privacy-friendly AI and programmatic ad tech enjoy favorable hiring prospects in this specialized market.
In Pearl River, LA, Data Scientist, Research salaries generally range from $95,000 to $130,000 annually, reflecting local cost of living and market demand. This is slightly below major tech centers but competitive within the regional AI advertising niche, offering solid compensation aligned with advanced research responsibilities.
New hires would spearhead projects involving innovative AI-driven targeting algorithms, design and evaluation of machine learning models, and implementation of privacy-aware data products. Experimentation with A/B testing and large-scale data analysis to optimize ad performance are also key responsibilities in this role.
Better Northshore Jobs fosters an environment encouraging patent pursuits, external collaborations, and active participation in research communities. They provide resources for continuous learning in tools like TensorFlow and PyTorch, ensuring their data scientists lead advancements in AI-powered programmatic advertising.
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