What are the responsibilities and job description for the Lead Data Scientist position at Parallel Consulting?
We are seeking a visionary Lead Data Scientist to join our AI & Machine Learning team in New York. In this role, you will drive innovation at the intersection of machine learning, natural language processing, and large language models, leading strategic initiatives that shape the future of our data-driven products.
This is a hands-on leadership role ideal for someone who thrives in a fast-paced, high-impact environment and is passionate about developing cutting-edge AI solutions.
Key Responsibilities:
- Lead the design, development, and deployment of ML/NLP/LLM models across multiple business domains.
- Architect and scale AI systems that leverage transformers, generative models, and LLMs (e.g., GPT, BERT, LLaMA).
- Drive the end-to-end lifecycle of machine learning projects, from data collection and experimentation to production deployment.
- Collaborate with cross-functional teams (engineering, product, and design) to align AI initiatives with business goals.
- Evaluate and implement best practices in responsible AI, model interpretability, fairness, and governance.
- Mentor and guide a team of data scientists and ML engineers.
- Stay current on the latest advancements in AI and contribute to internal research and innovation.
What You Bring:
- 5 years in ML, NLP, and Data Science, with 2 years in a lead/principal role.
- Hands-on with LLMs, including fine-tuning and deployment.
- Strong Python skills with libraries like PyTorch, TensorFlow, Hugging Face, spaCy, etc.
- Experience with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS, GCP, Azure).
- Excellent communication skills with both technical and non-technical stakeholders.
- Master’s or Ph.D. in CS, AI, Data Science, or related field
