Netrolynx AI
Senior Data Scientist II
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About The Company
LexisNexis is a leading global provider of legal, regulatory, and business information and analytics. Renowned for its innovative solutions, LexisNexis empowers professionals across various industries to make informed decisions, mitigate risk, and increase productivity. With a rich history of leveraging data and technology, the company offers a comprehensive suite of products and services that support legal research, compliance, risk management, and business intelligence. Committed to fostering a diverse and inclusive workplace, LexisNexis continuously invests in cutting-edge technology and talent to maintain its position at the forefront of the information services industry.
About The Role
We are seeking a highly skilled Senior Data Scientist II to join our dynamic Data Science & AI team at LexisNexis. This role is designed for a versatile professional with a strong background in machine learning, natural language processing, data engineering, and enterprise system integration. The ideal candidate will have experience working across various domains, including GenAI, traditional ML, and analytics, to develop impactful solutions that drive strategic business outcomes. As a key member of our team, you will be responsible for designing, building, deploying, and maintaining AI and ML models that support multiple business functions such as Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work closely with stakeholders to translate complex data challenges into scalable, automated solutions that deliver measurable value. This position offers an exciting opportunity to work on innovative projects, influence enterprise-level systems, and contribute to the future of AI-driven decision-making at LexisNexis.
Qualifications
The ideal candidate will possess a strong technical foundation and relevant experience, including:
- Proficiency in Python programming, with experience in developing and deploying machine learning models.
- Hands-on experience with OpenAI APIs, large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
- Solid understanding of machine learning fundamentals, including supervised learning, NLP, feature engineering, and model evaluation.
- Experience working with Databricks, Spark, Delta Lake, and cloud-based data processing platforms.
- Strong SQL skills and familiarity with large datasets and data warehouses such as Redshift, Snowflake, or similar.
- Experience with cloud services, particularly AWS (S3, Lambda, Redshift), for data automation, orchestration, and scalable processing.
- Knowledge of enterprise system integrations, including Salesforce, Oracle Fusion, and Service Cloud.
- Ability to design and implement end-to-end data and model workflows, from data ingestion to deployment and monitoring.
- Excellent communication skills, with the ability to collaborate across teams and translate technical concepts for non-technical stakeholders.
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Responsibilities
- Develop and deploy GenAI applications utilizing OpenAI APIs, embeddings, vector search, and retrieval-augmented generation techniques.
- Design advanced prompt engineering patterns and automate evaluation frameworks to ensure LLM quality, safety, and reliability.
- Create traditional machine learning models such as churn prediction, propensity scoring, sentiment analysis, lead scoring, and customer intelligence.
- Manage the complete model lifecycle, including data preparation, experimentation, deployment, and ongoing monitoring to ensure optimal performance.
- Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS services.
- Implement data automation and orchestration solutions leveraging AWS services like S3, Lambda, and Redshift to ensure scalable and reliable data workflows.
- Maintain high standards of data quality, observability, lineage, and documentation across all data and ML pipelines.
- Collaborate with cross-functional teams to deliver enterprise integrations with Salesforce, Oracle Fusion, and other platforms for batch and real-time workflows.
- Design analytics solutions by defining KPIs, connecting customer, product, finance, and CRM data, and providing actionable insights and recommendations.
- Ensure production reliability by providing L2/L3 support, monitoring model drift and data quality, conducting root cause analyses, and implementing preventative measures.
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Benefits
At LexisNexis, we understand that employee well-being and happiness are fundamental to a successful career. We offer comprehensive, country-specific benefits designed to support your health, financial security, and personal growth. Benefits may include health insurance, retirement plans, paid time off, professional development programs, and wellness initiatives. Details of the benefits package will be shared based on your location, ensuring you receive tailored support to meet your needs. Our commitment is to create a positive and inclusive work environment where every employee feels valued and empowered to succeed.
Equal Opportunity
LexisNexis is an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace where all qualified applicants are considered for employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability, protected veteran status, age, marital status, sexual orientation, gender identity, or any other characteristic protected by law. We believe that diversity drives innovation and excellence, and we welcome applicants from all backgrounds to join our team. If you require accommodations during the application process, please contact us through our support channels. We are dedicated to ensuring a fair, accessible, and respectful hiring experience for everyone.
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