LexisNexis
Overview
The Senior Data Scientist role at LexisNexis contributes to new product development by proposing data-driven solutions for complex customer challenges. They use advanced analytical techniques and become subject matter experts. Additionally, they collaborate with other data scientists and engineers to design cutting-edge AI solutions. The role also involves leading AI and machine learning model development, analyzing extensive datasets, and guiding junior team members. Responsibilities Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. Leading the development of advanced AI and machine learning models to solve complex business problems. Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models on a very large corpus of data. Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs. Mentoring junior data scientists and provide guidance on AI and machine learning best practices. Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.
Requirements
Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc. Have experience and knowledge of applying LLMs including models of GPT, Claude, Mistral, Phi family. Knowledge of advanced prompting techniques and agent-based solutions Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis. Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS. Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Business Consulting and Services
#J-18808-Ljbffr
The Senior Data Scientist role at LexisNexis contributes to new product development by proposing data-driven solutions for complex customer challenges. They use advanced analytical techniques and become subject matter experts. Additionally, they collaborate with other data scientists and engineers to design cutting-edge AI solutions. The role also involves leading AI and machine learning model development, analyzing extensive datasets, and guiding junior team members. Responsibilities Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. Leading the development of advanced AI and machine learning models to solve complex business problems. Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models on a very large corpus of data. Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs. Mentoring junior data scientists and provide guidance on AI and machine learning best practices. Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.
Requirements
Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc. Have experience and knowledge of applying LLMs including models of GPT, Claude, Mistral, Phi family. Knowledge of advanced prompting techniques and agent-based solutions Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis. Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS. Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Business Consulting and Services
#J-18808-Ljbffr