Data Scientist, Legal Analytics

Internet Brands, Inc.•El Segundo, CA

57d•$108,000 - $130,000

About The Position

We are seeking a Data Scientist to join our Legal Analytics team to apply data science, machine learning, and statistical techniques to discover and operationalize user signals from our legal product and adjacent service ecosystem, identify niche audiences, and enable targeted marketing and growth initiatives. This role sits at the intersection of legal expertise, data science, and marketing analytics and will design defensible, privacy-compliant signal pipelines and segmentation strategies that drive measurable marketing outcomes and business value. The role will partner with marketing, technology, product teams, and business stakeholders to deliver actionable insights that improve consumer acquisition strategy, marketing efficiency, user experience, and revenue predictability.

Requirements

Bachelor's or advanced degree with a strong emphasis in Econometrics, Economics, or other quantitative disciplines.
Demonstrated track record discovering/synthesizing user signals and turning them into commercial outcomes (lead generation, conversion lift, and/or revenue optimization).
Strong technical skills: SQL, Python/R, PySpark, warehousing, ETL orchestration and experience building production data products.
Hands-on experience with segmentation, clustering, propensity/score modeling, uplift modeling, survival analysis, and causal inference.
Familiarity with product analytics, CDP/DMP tooling, and marketing systems.
Excellent stakeholder management and communication skills; ability to translate technical outputs into clear marketing and product recommendations.
Deep appreciation for data privacy, confidentiality, and ethical considerations when working with sensitive legal data.

Nice To Haves

Knowledge of legal consumer journeys.

Responsibilities

Turn consumer signals into actionable insights to boost marketing performance, efficiency, and revenue through robust data collection, transformation, normalization, and cleaning.
Lead development of feature pipelines and data products that surface intent, risk, and propensity signals relevant to legal consumers and their essential needs.
Build rigorous audience discovery processes: cohort analysis, micro-segmentation, propensity modeling, lookalike creation, and transactional value estimation for niche legal segments.
Partner with Marketing to translate signals into targeting strategies across paid acquisition, content personalization, and nurture campaigns; measure and iterate on channel-level performance.
Establish instrumentation, tagging, and event taxonomy standards to ensure signal quality, provenance, and reusability across teams.
Ensure all data collection and use adheres to confidentiality requirements, and privacy/regulatory constraints (e.g., GDPR, CCPA); coordinate with Legal and Compliance on guardrails.
Design and run experiments and uplift analyses to validate causal impact of targeted campaigns and segmentation strategies (A/B testing, holdouts, synthetic controls).
Provide executive-facing insights and dashboards that surface trends, audience opportunity maps, and ROI on marketing outreach to legal consumer cohorts.
Create reproducible analytics, documentation, and model governance.
Collaborate effectively in cross-functional, multidisciplinary teams and champion knowledge sharing and peer mentorship.
Represent analytics in cross-functional forums and evangelize data-driven approaches to targeting and product-market fit within the organization.

Benefits

health insurance options such as medical, dental, and vision coverage
flexible spending accounts (FSA) for medical and dependent care
short-term and long-term disability insurance
life and AD&D insurance
401(k) retirement savings plan with a company match
paid time off (PTO)
paid holidays
commuter benefits
access to our Employee Assistance Program (EAP) and well-being coaching services
voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services