Data Science Manager — ML & LLM Leadership

Archer; San Francisco (CA); On-site; USD 115,000 - 192,000; Full time

Job summary

Archer, in partnership with LexisNexis, is seeking a Manager Data Science to lead a team of junior data scientists and drive advanced ML initiatives.

You will guide model development, oversee training and evaluation, mentor staff, and collaborate with product and engineering to deploy reliable AI solutions.

The role offers a competitive US base pay range, flexible working patterns, annual incentive eligibility, and country-specific benefits.

Qualifications

• Strong understanding of transformer architectures, attention mechanisms, tokenization, language modeling objectives.
• Proficiency in Python and PyTorch with experience in Hugging Face tools.
• Hands-on experience with supervised fine-tuning (SFT) and loss masking; model checkpointing.
• Familiarity with parameter-efficient fine-tuning (PEFT) such as LoRA/QLoRA.
• Ability to build instruction-response datasets and manage data leakage risks.
• Experience with distributed training and multi-GPU setups.

Responsibilities

• Lead the design and execution of LLM training and fine-tuning projects, including model selection, training strategy, experimentation, and evaluation.
• Oversee the preparation of high-quality training datasets, including data collection, cleaning, deduplication, annotation, and quality validation.
• Develop and optimize supervised fine-tuning and parameter-efficient fine-tuning workflows; apply preference optimization methods where appropriate.
• Establish evaluation frameworks to assess factual accuracy, instruction following, domain relevance, safety, and performance on business-specific tasks.
• Diagnose training issues and improve model quality, training stability, GPU utilization, and computational efficiency.
• Manage and mentor data scientists, review technical work, and establish reproducible development practices.
• Partner with product, engineering, and domain experts to define requirements and support model deployment and monitoring.
• Manage project priorities, timelines, and compute resources, and communicate results and tradeoffs to stakeholders.

Skills

LLM Fundamentals

Python

PyTorch

Hugging Face

Fine-tuning

PEFT

Tools

Transformers (Hugging Face)

Job description

Archer, in partnership with LexisNexis, is seeking a Manager Data Science to lead a team of junior data scientists and drive advanced ML initiatives.

You will guide model development, oversee training and evaluation, mentor staff, and collaborate with product and engineering to deploy reliable AI solutions.

The role offers a competitive US base pay range, flexible working patterns, annual incentive eligibility, and country-specific benefits.