Data Scientist

Creator

IQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies.

We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. Creator

IQ has earned the title of best companies to work for in multiple programs, including Built In LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC Market Scape:
Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™:
Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer Marketing Hub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles.

We’re seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let’s transform the industry together!

As a Data Scientist on our Data Science team, you will play a pivotal role in extracting meaning from the millions of pieces of content generated by creators every day. You will focus primarily on improving robust, scalable classification and language models that categorize content, detect trends, and ensure brand safety. While your core focus will be on foundational Machine Learning and NLP, you will also have the opportunity to experiment with LLM-backed and agentic applications.

• Build & Refine Classifiers:
  Develop and maintain multi-class text classification models to categorize creator content, brand mentions, and sentiment with high precision and recall.
• Analyze Content Semantics:
  Utilize Natural Language Processing (NLP) techniques (topic modeling, sentiment analysis, entity extraction) to structure unstructured data from social platforms like Tik Tok, Instagram, and You Tube.
• Bridge ML and GenAI:
  Experiment with Large Language Models (LLMs) to augment training data, perform few-shot classification, or summarize complex creator data, interfacing with the engineering team to bring these concepts to life.
• Own the Data Lifecycle:
  Write efficient code to clean, preprocess, and tokenize large text datasets, ensuring high-quality inputs for your models.
• Measure & Optimize:
  Work with MLOps to constantly evaluate model performance using standard metrics (F1 score, AUC-ROC) and work to reduce latency for real-time inference needs.
• Build & Integrate:
  Collaborate with engineering to integrate measurement loops into our broader infrastructure (AWS/GCP), ensuring our model lifecycle is automated and observable.

• NLP Practitioner:
  You have 2-4 years of experience building and deploying NLP models. You are comfortable with concepts like tokenization, word embeddings, and topic modeling.
• Machine Learning Foundation:
  You have a strong grasp of classical ML algorithms (Random Forest, XGBoost, SVM) and know when to use a simple logistic regression versus a deep learning approach.
• Python Proficiency:
  You are fluent in Python and its data stack (Pandas, Num Py, Scikit-learn). Experience with libraries like Hugging Face or Spacy is a major plus.
• Curious about LLMs:
  While you are grounded in traditional ML, you have a working knowledge of LLM APIs (OpenAI, Anthropic) and prompt engineering, and you are eager to learn how to integrate them into production workflows.
• Data Driven:
  You are comfortable writing complex SQL queries to pull your own data and verify your hypotheses.
• Team Player:
  You can explain complex technical concepts to non-technical stakeholders and collaborate effectively with MLOps engineers to get your models into production.

Confidence can sometimes hold us back from applying for a job. But we’ll let you in on a secret: there’s no such thing as a ‘perfect’ candidate. Have 50% of the criteria? Excited about this opportunity? Passionate about what we do at Creator

IQ? Please apply! Creator

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