Senior Data Scientist

We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.

In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication.

This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact.

Responsibilities:

• Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG).
• Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety.
• Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence).
• Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring.
• Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS.
• Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing.
• Ensure data quality, observability, lineage, and documentation across data and ML pipelines.
• Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows.
• Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations.
• Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes.

Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions?, * Strong Python programming skills.

• Direct experience with OpenAI APIs, LLM workflows, and prompt engineering.
• Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering.
• Experience with Databricks, Spark, and Delta Lake.
• Strong SQL skills with experience working on large datasets.
• Experience with AWS, including S3 and Lambda.
• Familiarity with Redshift, Snowflake, or other cloud data warehouses.
• Experience with behavioral datasets.
• Ability to work across machine learning, data engineering, analytics, and integrations.
• Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows.

 LexisNexis ist ein führender Anbieter intelligenter Rechtsinformation in den Bereichen Steuern, Recht und Wirtschaft. Wir bieten und entwickeln Lösungen und Services, welche die Arbeit unserer Kund:innen schneller, einfacher und produktiver gestalten. 

Als Teil des Business Systems & Technology Teams von LexisNexis Österreich stellen Sie den reibungslosen Ablauf der Geschäftsprozesse durch unsere Business Systeme sicher. Gleichzeitig tragen Sie dazu bei, dass wir unsere Systeme laufend an die sich ändernden Geschäftsprozesse anpassen und weiterentwickeln.