Data Scientist

M4 Partners; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

M4 Partners is seeking a Data Scientist to advance our in‑house AI platform. This fully remote, externally facing role involves turning business requirements into experimental, evaluable AI solutions and deploying them for customer use.

You will design AI workflows for information extraction, classification, retrieval, summarisation and decision support, and you will validate structured JSON outputs against defined schemas. Collaboration with engineers will expose capabilities via APIs.

Qualifications

• Experience building and deploying ML/AI solutions.
• Strong Python skills with data science libraries.
• Practical experience with large language models and AI APIs.
• Solid understanding of JSON, JSON Schema and data validation.
• Experience preparing datasets, SQL usage and reproducible data workflows.
• Knowledge of statistical evaluation, data leakage, and model limitations.
• Ability to write maintainable, tested code and work with version control.
• Excellent communication and ability to translate business problems into technical outcomes.

Responsibilities

• Develop and improve ML/AI capabilities for in‑house AI platform.
• Build AI workflows for information extraction, classification, knowledge retrieval, summarisation and decision support.
• Design and validate structured outputs using schemas and data types.
• Prepare and structure data for model development, reporting and deployment.
• Evaluate approaches including LLMs, retrieval-augmented generation and fine-tuning.
• Create evaluation datasets and repeatable tests for accuracy, latency, and cost.
• Implement controls for missing data, unsupported outputs, and human review triggers.
• Collaborate with developers to expose AI features via APIs and integrate into applications.
• Support deployment, monitoring and version control of models and workflows.
• Document datasets, experiments and design decisions while protecting confidential information.

Skills

Python

JSON/JSON Schema

Data validation

SQL

ML/AI development

Model evaluation

Version control

Communication

Education

Bachelor's degree in CS or related

Tools

NumPy/Pandas

TensorFlow

PyTorch

SQL databases

JSON Schema tooling

Job description

FULLY REMOTE

OUTSIDE IR35

We are looking for a Data Scientist with strong machine learning and AI engineering skills to develop the capabilities of our in-house AI platform. This hands‑on product development role takes ideas from business requirements through experimentation, evaluation and deployment. A particular focus is producing reliable, structured outputs that applications and business systems can consume and customers can use.

Key responsibilities

• Develop and improve machine learning and AI capabilities that address practical customer needs.
• Build AI workflows for information extraction, classification, knowledge retrieval, summarisation and decision support.
• Design, generate and validate structured JSON outputs using defined schemas, data types and validation rules.
• Prepare, clean, transform and structure data for model development, application consumption, reporting and dissemination.
• Evaluate appropriate approaches, including conventional machine learning, large language models, retrieval‑augmented generation and fine‑tuning where justified.
• Create evaluation datasets and repeatable tests to measure accuracy, consistency, robustness, latency and cost.
• Implement controls for missing information, unsupported answers, malformed outputs and cases requiring human review.
• Work with developers to expose AI capabilities through APIs and integrate them into customer applications.
• Support deployment, monitoring, version control and improvement of models and AI workflows.
• Document datasets, experiments, design decisions and limitations while protecting confidential customer information.

Essential experience and skills

• Demonstrable experience developing and deploying machine learning or AI solutions.
• Strong Python skills and experience with relevant data science and machine learning libraries.
• Practical experience with large language models, AI APIs and systematic evaluation.
• Strong understanding of JSON, JSON Schema, structured data and data validation.
• Experience preparing datasets, using SQL and building reproducible data processing workflows.
• Sound understanding of statistical evaluation, overfitting, data leakage and model limitations.
• Ability to write maintainable, tested code and collaborate through version control.
• Clear communication and the ability to translate business problems into measurable technical outcomes.

Desirable experience

• Retrieval systems, embeddings, vector databases and document processing.
• MLOps, cloud deployment, containers and model monitoring.
• AI tool calling, agent workflows and Model Context Protocol integrations.
• Experience developing AI capabilities for a commercial software product