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Paul, Weiss, Rifkind, Wharton & Garrison LLP · 1 day ago

Data Solutions Architect

New York, United States

Full-time

Hybrid

Mid Level

$110K/yr - $155K/yr

3+ years exp

Paul, Weiss, Rifkind, Wharton & Garrison LLP is a leading law firm, and they are seeking a Data Solutions Architect to advance their data and AI initiatives. The role involves collaborating with teams to improve legal workflows, designing data infrastructures, and implementing innovative AI solutions to enhance client service and operational efficiency.

Law Practice

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Collaborate with legal and operational teams to identify business challenges and opportunities to improve legal workflows and processes

Translate complex legal domain logic into data requirements and AI use cases

Design, build, and maintain scalable data pipelines and data infrastructure to enable innovative AI / BI use cases

Utilize SQL, Python, R, or other data analytics tools to analyze, model, and visualize data trends and insights

Collaborate with the firm's technology teams to maintain and refine essential data pipelines and data structures, such as warehouses and databases

Develop and implement tools and processes for transformation of raw data into user-friendly views that enable self-service analytics

Apply advanced quantitative research methods, including ML and NLP, to analyze data trends, identify relationships, and develop predictive models

Design, refine, and deploy analyses and data systems for various applications, such as text analysis, trend analysis, predictive modeling, etc

Craft, test, and refine complex prompts for large language models (LLMs) to generate high-quality outputs that are contextually accurate and tailored to legal research and drafting workflows

Design and implement data and AI-driven solutions that address cross-functional and specific legal practice needs from proof of concept to production

Keep up with the latest developments in AI, ML, and data science, and integrate cutting-edge technologies into firm projects

Qualification

Data engineeringMachine learningStatistical programmingData modelingNatural language processingData visualizationProblem-solvingCommunication skillsCollaboration

Required

Bachelor's degree in Data Science, Computer Science, Engineering, or related fields

Minimum 3 years of relevant experience, with at least 2 years in data engineering and data science roles

Proven experience with data analytics and data engineering with a strong focus on data modeling

Strong proficiency in statistical programming languages (Python, R) and database management (SQL)

Familiarity and hands-on experience with ML, NLP, and data visualization tools

Excellent problem-solving abilities and communication skills, with the capacity to present complex data to non-technical audiences

Preferred

Master's degree in a relevant discipline, with coursework in deep learning, NLP, or information retrieval highly regarded

Experience in legal or professional services environments preferred

Benefits

Competitive compensation and benefits packages

Company

Paul, Weiss, Rifkind, Wharton & Garrison LLP

Glassdoor4.2

Paul, Weiss, Rifkind, Wharton & Garrison LLP is a premier firm of more than 1,000 lawyers with diverse backgrounds, personalities, ideas and interests who provide innovative and effective solutions to our clients’ most complex legal and business challenges.

Founded in 1875

New York, NY, US

1001-5000 employees

http://www.paulweiss.com

H1B Sponsorship

Paul, Weiss, Rifkind, Wharton & Garrison LLP has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (97)

2024 (53)

2023 (26)

2022 (30)

2021 (19)

2020 (20)