Data Scientist

📋 Description

• Build & refine text classifiers for creator content, brand mentions, and sentiment.
• Analyze content semantics with NLP to structure data from social platforms.
• Bridge ML and GenAI: experiment with LLMs to augment training data and summarize insights.
• Own the data lifecycle: clean, preprocess, and tokenize large text data.
• Measure & optimize model performance; reduce latency for real-time inference.
• Build & integrate measurement loops with engineering (AWS/GCP) for observability.

🎯 Requirements

• NLP Practitioner: 2–4 years building and deploying NLP models (tokenization, embeddings, topic modeling).
• Strong ML foundation with classical algorithms (RF, XGBoost, SVM); know when to use logistic regression.
• Python proficiency with Pandas, NumPy, Scikit-learn; Hugging Face/Spacy a plus.
• Knowledge of LLM APIs (OpenAI/Anthropic) and prompt engineering for production workflows.
• Data driven: comfortable writing complex SQL queries to pull data and verify hypotheses.
• Team Player: explain tech to non-technical stakeholders and collaborate with MLOps.

🎁 Benefits

• People: work with talented, collaborative, and friendly people.
• Guidance: utilize our learning platform to get the training and tools you’ll need from day one.
• Surprise meal stipends: meals for remote workers.
• Work/life harmony: 15 days vacation, floating holidays, wellness allowance, and paid parental leave.
• Whole Health Package: medical, dental, vision, life, disability insurance, and more.
• Savings: a 401k (USA) plan to help you plan ahead.