About LG Ad Solutions
Sourced by ZipRecruiter
Industry
Marketing
Company size
201 - 500 Employees
Headquarters location
Mountain View, CA, US
Year founded
2013
$64.50K - $65.10K/yr
Full-time
Posted 6 days 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.
Sourced by ZipRecruiter
Marketing
201 - 500 Employees
Mountain View, CA, US
2013
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Q: What skills or qualities help someone succeed as a Associate Data Scientist?
A: To succeed as an Associate Data Scientist, key technical skills include proficiency in programming languages such as Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with a curious and analytical mindset, are essential for success in this role. By combining these technical and soft skills, Associate Data Scientists can effectively drive business decisions, identify insights, and contribute to the growth and development of their organization.
Q: What is the career path for a Associate Data Scientist?
A: The typical career progression for an Associate Data Scientist involves starting as an entry-level Data Analyst or Junior Data Scientist, then advancing to a mid-level Data Scientist role, and eventually becoming a Senior Data Scientist or Lead Data Scientist. Key opportunities for skill development and professional growth include mastering machine learning algorithms, deep learning techniques, and programming languages such as Python and R, as well as developing expertise in data visualization, statistical modeling, and data engineering. Long-term career prospects for Data Scientists may include transitioning into leadership roles, such as Data Engineering Manager or Director of Data Science, or pursuing specialized roles like Quantitative Analyst or Artificial Intelligence Engineer.
