Senior Data Scientist II

Are you looking to develop your Data Scientist career?

Would you enjoy training more junior team members?

About the Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), 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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role:

Join our team to help build state-of-the-art research tools. Our Data Science teams focus on extracting key information such as entities mentioned, sentiment analysis, data enrichments, predictive insights, and more to build best in class data and news streams relied on by our global customer base. We are in the beginning stages of adding Generative AI across our portfolio of products while continuing to be committed to High Quality and trusted / citable information with everything we do. We are looking to grow our team with Passionate Data Scientist committed to defining scope of a project and execute that project independently. Individuals in this role are expected to support the development and training of junior staff. They develop best practices and are project leaders.

 

Responsibilities:

Requirements

• Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.

• 5+ years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy

• Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS. 

• Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

• Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.

• Be proficient in working with big data technologies and tools.

• Experience using Machine Learning and associated packages like scikit-learn, pandas, NumPy.

• Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. 

• Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams. 

• Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests. 

U.S. National Base Pay Range: $102,800 - $171,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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