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Senior Data Scientist II page is loaded## Senior Data Scientist IIlocations : Mexicotime type : Full timeposted on : Posted Yesterdayjob requisition id : R
- About our Team
- LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of , a global provider of information-based analytics and decision tools for professional and business customers.
Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.
About the RoleAs a Sr Data Scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice / legal spend data and work management.
You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.
You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.
Responsibilities :Develop and implement LLM-based applications tailored for legal use-casesEvaluate and help maintain our data assets and training / evaluation data setsDesign and build pipelines for preprocessing, annotating, and managing legal document datasetsCollaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needsConduct experiments and evaluate model performance to drive continuous improvementsFine-tune and deploy large language models to enhance their performance on legal text processing tasksInterface with other technical personnel or team members to finalize requirements.Work closely with other development team members to understand complex product requirements and translate them into software designs.Successfully implement development processes, coding best practices, and code reviews for production environments.Requirements :MS in Data Science, Computer Science, Statistics, Machine Learning, or equivalent hands-on experience.Practical experience with LLMs, NLP, and AI frameworks.Strong Python programming skills.Familiarity with cloud platforms and scalable infrastructure.Understanding of machine learning concepts such as clustering, embeddings, and sequence classification.Experience with data modeling and working with diverse database systems.Bilingual proficiency in English and Spanish.Willingness to work on-site 2 days per week in our Reforma office.Work in a way that works for youWe promote a healthy work / life balance across the organization.We offer an appealing working prospect for our people.
With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productiveWorking for youWe know that your well-being and happiness are key to a long and successful career.These are some of the benefits we are delighted to offer :
Private Medical / Dental PlanSavings FundLife InsuranceMeal / Grocery VoucherAbout the BusinessLexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.
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