Description
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.
Key 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.
Desired Experience & Skills
- Bachelors 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.
- Preferred Qualifications: Knowledge of legal consumer journeys.
At Internet Brands we carefully consider a wide range of factors when determining compensation including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to have a range of $108k - $130k will depend on your skills qualifications and experience. We encourage all interested candidates to apply.
In addition to our awesome culture we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include 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 and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match paid time off (PTO) paid holidays commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching addition employees can take advantage of voluntary benefits such as home auto and pet insurance and discounted legal and financial services. For more details feel free to inquire during the interview process.
Internet Brands headquartered in El Segundo Calif is a fully integrated online media and software services company focused on four high-value vertical categories: Health Automotive Legal and Home/Travel. The companys properties and platforms include the WebMD Medscape and Henry Schein ONE networks which are the global leaders in their markets; Nolo Avvo and Martindale which form the largest consumer information provider in the legal market; and CarsDirect Fodors Travel and many others which are leaders in their key vertical markets. Internet Brands award-winning consumer websites lead their categories and serve more than 250 million monthly visitors while a full range of web presence offerings has established deep long-term relationships with SMB and enterprise clients. The companys powerful proprietary operating platform provides the flexibility and scalability to fuel the companys continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus.
Internet Brands and its wholly owned affiliates are an equal opportunity employer. Internet Brands will consider qualified applicants with criminal histories in a manner consistent with the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).
Notice to California residents: you can find information about our privacy practices on: Experience:
IC
DescriptionWe 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 g...
Description
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.
Key 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.
Desired Experience & Skills
- Bachelors 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.
- Preferred Qualifications: Knowledge of legal consumer journeys.
At Internet Brands we carefully consider a wide range of factors when determining compensation including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to have a range of $108k - $130k will depend on your skills qualifications and experience. We encourage all interested candidates to apply.
In addition to our awesome culture we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include 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 and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match paid time off (PTO) paid holidays commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching addition employees can take advantage of voluntary benefits such as home auto and pet insurance and discounted legal and financial services. For more details feel free to inquire during the interview process.
Internet Brands headquartered in El Segundo Calif is a fully integrated online media and software services company focused on four high-value vertical categories: Health Automotive Legal and Home/Travel. The companys properties and platforms include the WebMD Medscape and Henry Schein ONE networks which are the global leaders in their markets; Nolo Avvo and Martindale which form the largest consumer information provider in the legal market; and CarsDirect Fodors Travel and many others which are leaders in their key vertical markets. Internet Brands award-winning consumer websites lead their categories and serve more than 250 million monthly visitors while a full range of web presence offerings has established deep long-term relationships with SMB and enterprise clients. The companys powerful proprietary operating platform provides the flexibility and scalability to fuel the companys continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus.
Internet Brands and its wholly owned affiliates are an equal opportunity employer. Internet Brands will consider qualified applicants with criminal histories in a manner consistent with the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).
Notice to California residents: you can find information about our privacy practices on: Experience:
IC
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