Senior Data Scientist II

Posted 2 Days Ago
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Wall, NJ, USA
In-Office
Senior level
Information Technology • Legal Tech • Analytics
The Role
Design and build scalable data pipelines and models to enable segmentation, attribution, real-time engagement, and analytics. Ensure data quality, governance, and GDPR/PII compliance while partnering with MarTech, analytics, and marketing teams to deliver production-ready datasets, event streams, and CDP functionality for customer journey orchestration.
Summary Generated by Built In

Are you motivated to build scalable data solutions that directly shape customer engagement and marketing performance?

Do you enjoy collaborating across teams to turn complex data into actionable insights and real-time decision making?

About the Business

LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist in evaluating and predicting risk and enhancing operational efficiency.

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.

About Our Team

The MarTech – Marketing Automation team is a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services.

About the Role

This role focuses on building and optimising data infrastructure that enables advanced marketing and customer data capabilities. You will create scalable pipelines, data models, and governance practices that support analytics, segmentation, and real-time engagement. Working closely with cross-functional teams, you will help deliver reliable, high-quality data solutions that drive business outcomes.

Responsibilities

  • Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer
  • Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement
  • Ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases
  • Enable CDP functionality including identity resolution, consent management, and audience readiness
  • Develop event streams and triggers to support customer journey orchestration and real-time decisioning
  • Provide structured datasets and semantic layers for dashboards and advanced analytics
  • Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance
  • Partner with analytics, MarTech, and marketing teams to align data solutions with business needs

Requirements

  • Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)
  • Experience with cloud data platforms (e.g., Azure, AWS, or GCP)
  • Proficiency in data modelling (dimensional, entity-relationship, event-driven)
  • Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data
  • Experience supporting analytics and BI tools (e.g., Power BI, Tableau) from a data engineering perspective
  • Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII)
  • Ability to translate business requirements into scalable technical solutions
  • Strong collaboration and communication skills with technical and non-technical stakeholders

You can learn more about LexisNexis Risk Solutions here:
LexisNexis Risk Solutions

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Skills Required

  • Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (Airflow, dbt, Data Factory)
  • Experience with cloud data platforms (Azure, AWS, or GCP)
  • Proficiency in data modelling (dimensional, entity-relationship, event-driven)
  • Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data
  • Experience supporting analytics and BI tools (Power BI, Tableau) from a data engineering perspective
  • Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII)
  • Ability to translate business requirements into scalable technical solutions
  • Strong collaboration and communication skills with technical and non-technical stakeholders

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

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The Company
Amsterdam
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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