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
Slidell's data science market is growing steadily, with demand for research-oriented data scientists increasing as AI adoption rises locally. Competition remains moderate, offering opportunities to professionals skilled in advanced machine learning and statistical research within industries like digital advertising and regional tech firms.
Certifications such as Google Cloud Professional Data Engineer and advanced machine learning courses can enhance a research data scientist’s profile in Louisiana. Emphasizing expertise in Python, TensorFlow, and statistical modeling aligns well with regional employers prioritizing AI-driven product development.
Research data scientists typically excel in designing experiments, prototyping novel algorithms, and publishing findings. Unlike typical data scientists, they focus heavily on innovation, developing new AI models, and contributing to thought leadership in machine learning and data product research.
In Slidell, research data scientists often balance client-facing communication with deep technical work, leveraging local industry needs like programmatic advertising optimization. This contrasts with other regions where tasks might skew more towards general analytics or operational data roles.
At Better Northshore Jobs, a research data scientist gains exposure to cutting-edge AI projects and collaboration opportunities, paving the way toward senior research roles, AI leadership positions, or specialized data science consultancy in tech-driven advertising sectors.
Better Northshore Jobs fosters growth with access to patented AI technologies and encourages contributions to external publications and conferences, creating an environment where data scientists can deepen expertise while influencing the broader research community.
Research data scientists in Slidell usually earn between $95,000 and $130,000 annually, depending on experience and educational background, reflecting the specialized nature of the role within AI-driven digital marketing firms and local industry standards.
With a master's and relevant experience, candidates have strong prospects in Slidell’s evolving AI landscape. Demonstrated skills in machine learning, statistical analysis, and client communication enhance chances, especially within companies focused on privacy-friendly data products.
Projects often involve building scalable AI models for programmatic advertising, developing privacy-preserving data solutions, and experimenting with large language models for enhanced targeting accuracy, reflecting the company's commitment to innovative, data-driven marketing products.
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