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Data Scientist I

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GumGum is an advertising technology company transforming advertising through its AI-driven data engine. The Data Scientist I role focuses on statistical analyses and the development of Machine Learning and Deep Learning solutions to enhance ad relevance and performance across various platforms. Responsibilities Support the translation of business and product requirements into data-driven analyses and ML solutions Partner with Engineering team members and senior Data Scientists to develop, test, and deploy ML and DL models Conduct exploratory data analysis to inform feature development and modeling approaches Build, run, and maintain regular pipelines to analyze production data, generate KPIs, and prepare automatic retraining of existing models Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms Train, evaluate, and iterate on traditional ML models and multimodal deep learning models under guidance from senior team members Design and maintain Looker dashboards and other Business Intelligence (BI) tools to track Key Performance Indicators (KPI) for key stakeholders Develop and deploy agentic pipelines and other LLM-powered applications, including prompt engineering, tool use, and evaluation of model outputs Contribute to existing Machine Learning Engineering (MLE) workflows for model training, deployment, and monitoring Document analyses, models, and broader learning to support knowledge sharing across the team and non-technical audiences Continuously expand on statistical and AI foundations while learning new AI/ML techniques, tools, and advertising-domain concepts Skills Bachelor's degree in a quantitative field (e.g., Statistics, CS, Math, Physics, or Economics) 1–2+ years in a data-driven role such as Analytics, Data Science, or ML Engineering Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV Dependable SQL skills and experience designing pipelines or DAGs using tools like Airflow or Astronomer Exposure to cloud environments (AWS/GCP, Databricks, Snowflake) and large-scale query tools like Spark or Snowpark Strong grasp of A/B testing, experimental design, and statistical concepts (regression, classification, optimization) Experience with LLM prompting and interest in frameworks like RAG, LangChain, or agentic systems Ability to design dashboards for diverse audiences and collaborate effectively with Product and Engineering teams Benefits Employer-matched 401(k) retirement plan Participation in a bonus, commission, or stock incentive program Company Overview GumGum is an Artificial Intelligence company that uses machine learning to extract value from digital content. It was founded in 2008, and is headquartered in Santa Monica, California, USA, with a workforce of 501-1000 employees. Its website is https//gumgum.com/. Company H1B Sponsorship GumGum has a track record of offering H1B sponsorships, with 1 in 2026, 9 in 2025, 13 in 2024, 6 in 2023, 15 in 2022, 15 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply To This Job

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...