Senior Data Scientist/AI Engineer (Remote)
About The Position
THE TEAM & THE JOB We are seeking a talented and self-motivated Senior Data Scientist/AI Engineer to join our team. In this role, you will design, build, and deploy next generation AI-driven tools for market research. You will work at the intersection of data science and AI engineering. We develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. We handle the most difficult data problems at our company, including massive datasets, missing data, self-selection, measurement error, fraud detection, attrition, and many more. This is a hands-on role that requires both analytical and programming skills at an advanced level.
Requirements
- Master’s or PhD in data science or related field.
- Demonstrable progressive experience in senior data science/AI engineering roles.
- Advanced knowledge in Python and/or R for data analysis, modelling, and visualization.
- Experience working with LLM APIs and building LLM-based applications and frameworks.
- Progressive experience with natural language processing, including topic modelling, text classification, and summarization.
- Experience in taking part in cross-functional technical projects.
- Ability to write clean, maintainable, well-documented code.
- Proven track record of delivering complex, high-impact solutions.
- Ability to cross collaborate with other teams across the business.
Responsibilities
- Design and build AI-powered applications to analyze, summarize, and generate insights from survey data.
- Contribute to technical design and architecture decisions for AI/ML systems.
- Develop and optimize prompts and chains.
- Build applications to simplify analytics and improve the efficiency of data processing.
- Work with structured and unstructured data
- Collaborate with data analysts, product managers, UI designers, and software developers to create great products.
- Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics.
- Stay up to date with recent developments in AI and machine learning, including LLMs, fine tuning, and RAG pipelines.
- Handling ambiguous, complex problems with minimal guidance
- Contribute to technical vision, architectural decisions, or to help setting technical standards.
- Contribute to business impact and strategic problem-solving at an organizational level as and when required.
Benefits
- Paid vacation, holidays and sick days
- Flexible working arrangement available
- Group medical, dental and vision insurance
- Company-paid life and disability insurance
- Paid parental leave
- 401(k) with company match
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
