Senior Data Scientist / AI Engineer

Here’s a summary of the role:

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. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff):

• 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, embeddings, 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. 

These are the essentials you’ll need to get an interview:

• 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 

For roles based in California, New York, Colorado or Washington State, the base salary hiring range for this position is 112,000 USD - 150,000 USD. Compensation offered will be determined by multiple factors including location, job-related knowledge, skills and experience. Certain roles may be eligible for incentive compensation and additional benefits. All US based full time employees are eligible for the following 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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As an Equal Opportunity Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity or expression, and sexual orientation), parental status, national origin, marital status, age, disability, genetic information, HIV status, political affiliation, socioeconomic background, veteran status or any other characteristic protected by law or in line with our responsibilities as a fair and ethic employer. All employment decisions are made based on occupational qualifications, merit, and business need.  

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