Data Scientist

$144,000 - $155,400/Yr

Blue Orange Digital - Philadelphia, PA

Full-time - Mid Level

Philadelphia, PA

Professional, Scientific, and Technical Services

About the position

Blue Orange Digital is seeking an experienced Data Scientist to join their dynamic multi-disciplinary team. The role focuses on developing and implementing machine learning and AI models, leveraging cloud technologies, particularly GCP, to deliver innovative data solutions. The ideal candidate will have a strong background in machine learning, data analytics, and programming, with a passion for driving machine-learning initiatives forward. This position requires in-person collaboration at the New York City office at least once a month.

Responsibilities

• Design, build, and deploy advanced machine-learning models and applications.
• Improve model performance through feature engineering, hyperparameter search, and metric selection.
• Build LLM-based products and stay updated with current developments.
• Design and build custom APIs using tools like FastAPI.
• Build LLM orchestration systems with tools like LangChain in GCP.
• Analyze large datasets to extract actionable insights and inform model development.
• Implement data preprocessing, cleansing, and quality checks to ensure data quality.
• Develop and maintain cloud-native machine learning solutions using GCP.
• Implement and manage MLOps practices to automate ML model deployment processes.
• Ensure the quality of machine learning models through rigorous testing and validation.

Requirements

• 3-7 years of experience in Data Science and ML/AI data engineering.
• Degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong mathematical skills, particularly in statistics and linear algebra.
• Experience with NLP and LLM-based technologies and frameworks.
• Deep Learning expertise.
• Proficiency with Python, PyTorch (or TensorFlow), notebooks, and AI applications.
• Experience with cloud-based technologies, particularly GCP.
• Expertise in training and deploying ML/AI-powered solutions in cloud environments.
• Ability to occasionally commute to Manhattan for onsite collaboration.

Nice-to-haves

• Advanced degree in a relevant field.
• Publications in relevant AI/ML communities and journals.
• Experience with classical NLP techniques such as Intent recognition, NER, and POS tagging.
• Experience with Hugging Face, Gemini, OpenAI, Anthropic, Cohere, and related technologies.
• Experience fine-tuning OpenSource LLMs and deploying them.
• Familiarity with Great Expectations, pytest, Looker, Databricks, and/or DBT.

Benefits

• Competitive salary range of $144,000 - $155,400 per year.
• Opportunity to work on cutting-edge projects in data science and AI.
• Collaborative work environment with a focus on innovation.