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 positions in New Orleans often emphasize proficiency in experimental design, A/B testing, and advanced statistical modeling to tackle noisy marketing datasets. Candidates should be adept at iterative prototyping and applying machine learning to real-world advertising challenges, reflecting the city's growing digital ad tech scene.
New Orleans offers a unique blend of emerging AI-focused companies with a collaborative culture, often providing more direct client interaction and impact opportunities compared to larger cities. While salary ranges might be slightly lower, the cost of living and tight-knit tech community present significant advantages for research-driven data scientists.
Holding advanced degrees in quantitative fields combined with hands-on expertise in Python, TensorFlow, and cloud platforms like Google Cloud enhances candidacy. Familiarity with privacy-centric AI and large language models aligns well with Better Northshore Jobs' commitment to innovative, privacy-friendly digital advertising solutions.
Yes, the company actively supports its data science team members in contributing to academic publications, industry presentations, and collaborations. This culture fosters thought leadership and innovation, making it ideal for researchers eager to influence both the company’s products and the broader data science community.
Data Scientist, Research roles in New Orleans generally offer salaries ranging from $95,000 to $125,000 annually, depending on experience and education. This reflects the city's competitive market for AI and data science talent, balancing cost of living with the demand for advanced research skills in programmatic advertising.
The New Orleans market shows increasing demand for data scientists with research expertise due to the rise of AI ad tech firms. While competition is growing, candidates with strong backgrounds in machine learning, experimental design, and privacy-aware analytics stand out, especially when familiar with local industry trends.
Researchers often face complex, noisy datasets with privacy constraints requiring innovative, transparent modeling techniques. Balancing data-driven insights with client transparency and evolving privacy laws in a dynamic ad tech environment demands adaptability and cutting-edge research methodologies.
The role integrates the latest AI advancements, including large language models and generative AI, to enhance data products and predictive accuracy. This forward-thinking approach enables the team to stay ahead in programmatic advertising by developing scalable, privacy-conscious solutions tailored to client needs.
Unlike general data science roles, research-focused positions emphasize end-to-end project ownership, from hypothesis generation to experiment execution and patent pursuit. The role demands a balance between deep analytical work and client-facing communication, often requiring the development of novel methodologies tailored to advertising technologies.
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