LG Ad Solutions · New York
Data & AIData ScienceFullTimeposted 2mo ago
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
Job Description:
We are building a Data Analytics and Operations team within Research to strengthen ownership of our analytics outputs and the readiness of our core data assets. This role focuses on ensuring that data is trustworthy, usable, and effectively translated into business- and client-ready insights.
You will work in ambiguous problem spaces, define standards where none exist, and take responsibility for turning complex data into reliable, consumable outputs. You will be comfortable navigating unknowns, following problems across systems, and adapting approaches as you learn more.
Responsibilities:
Work directly with large and complex datasets to investigate data behavior, quality, and downstream impact
Able to understand and follow analytics outputs, including acceptance criteria, documentation for consumption
Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences
Help the team maintain workflows that support analytics delivery, including automation and AI-assisted tooling where appropriate
Partner closely with engineering, research, and product teams to surface issues and communicate resolutions
Identify gaps in data reliability or usability and take initiative to close them
Contribute to the development of an analytics discipline that prioritizes ownership, clarity, and impact over process overhead
Automate at scale – Replace manual, repetitive data processes with reliable, fast, and transparent workflows
Focuses on accuracy, clarity, and reliability of outputs
Executes well-defined analyses and investigations with guidance
Qualifications:
Strong analytical and problem-solving skills with the ability to navigate ambiguity
2+ years working experiences in SQL or Python, with comfort working directly with raw and intermediate datasets
Solid understanding of how data systems support business decisions and products
Strong sense of ownership and accountability for outcomes
You automate with purpose – You’ve applied automation and AI frameworks to business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity
Ability to pivot approaches as new information emerges and unknowns are uncovered
Clear written and verbal communication skills
Bonus: Experience in ad tech, media, or data products
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.
Application Deadline: September 30, 2026
Compensation & Benefits
Tier 1* (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area)$90,655 - $124,649/year
Offers Bonus
Benefits & Perks: 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents. Company-paid life and AD&D, STD and LTD insurance, plus optional supplemental coverage. 401(k) with company match. Flexible Time Off (FTO). Paid parental leave.
*Certain markets, including the San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area, are aligned to Tier 1 compensation bands. All other U.S. locations are aligned to Tier 2 compensation bands. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience.