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 scientists in Lacombe tailor algorithms to regional consumer data, optimizing ad targeting for local businesses. Leveraging machine learning amid Lacombe's market nuances helps improve campaign precision, making data-driven decisions more effective in this specific area of the US.
The research-focused data scientist typically holds advanced degrees such as a Ph.D. or specialized experience in statistical modeling and experimental design. This role demands deeper involvement in novel algorithm development and patentable innovations beyond routine data analysis.
Handling vast, unstructured data requires sophisticated cleaning and preprocessing strategies to extract actionable insights. Data scientists must balance precision and scalability while maintaining privacy, especially in AI-powered ad technologies, which demand constant model refinement.
Better Northshore Jobs fosters innovation and transparency, encouraging data scientists to pioneer privacy-friendly solutions and collaborate across teams. Their culture emphasizes rapid prototyping and client communication, enriching the research role with impactful, real-world applications.
The company integrates cutting-edge AI methodologies and patented technologies to refine audience precision. Data scientists contribute by developing new products, conducting experiments, and applying advanced machine learning, which collectively drive Better Northshore’s competitive advantage.
Certifications in cloud platforms like Google Cloud, and proficiency in tools such as TensorFlow or PyTorch, are highly valued locally. Additionally, staying current with privacy-compliant AI methods and statistical modeling enhances employability in Lacombe’s growing digital advertising sector.
Salaries typically range from $95,000 to $130,000 annually in Lacombe, slightly below major tech cities but offset by lower living costs. Compensation reflects the niche skills in AI-driven ad targeting and the demand for data scientists who can innovate within regional market constraints.
Research data scientists focus more on invention, prototyping, and end-to-end project ownership, including patent pursuits and client presentations. In contrast, entry-level analysts often handle defined data extraction and reporting tasks, with less emphasis on experimental design or strategic innovation.
Progression often leads to senior research roles, managerial positions, or specialized AI fellowships. The role’s emphasis on publishing, patenting, and cross-functional leadership opens doors to thought leadership and strategic influence within data science and digital advertising domains.
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