Senior Data Scientist

SoTalent; Raleigh (NC); Hybrid; USD 130,000 - 200,000; Full time

Job summary

SoTalent is seeking a senior data scientist to lead the design, development, and deployment of advanced AI/ML models within a global analytics organization. You will guide junior scientists while collaborating with engineering and product teams across legal, regulatory, and business intelligence domains.

The role emphasizes scalable frameworks, governance, and delivering production-ready AI systems, with hybrid work and international collaboration supporting growth and innovation.

Qualifications

• 6-10+ years of experience in Data Science / ML roles.
• Experience with large-scale production AI systems.

Responsibilities

• Lead design, development, and deployment of advanced AI/ML models.
• Work with large-scale datasets to identify patterns and insights.
• Align AI solutions with business and customer requirements.
• Mentor junior data scientists and support technical development.
• Work with cross-functional engineering and product teams.

Skills

AI/ML development

LLMs

Transformer models

Big data

Cross-functional collaboration

Mentoring

Tools

Spark

Hadoop

AWS

Python

Job description

Industry: LegalTech / Information & Data Analytics / AI Solutions

Work setting: Hybrid / Flexible working (US-based team, global collaboration)

Employment type: Full-time

Role Overview

A senior-level data science role focused on building and scaling advanced AI and machine learning solutions within a global data-driven organisation. You will act as a technical expert, leading model development, defining methodologies, and guiding junior team members while working closely with cross-functional engineering and product teams.

The role sits within a large international analytics business serving enterprise customers across legal, regulatory, and business intelligence domains.

Key Responsibilities

• Lead design, development, and deployment of advanced AI/ML models
• Work with large-scale datasets to identify patterns, trends, and insights
• Apply and optimise transformer-based and LLM-driven solutions

Data Science & Analytics

• Analyse complex datasets to support product and business decision-making
• Develop scalable frameworks, methodologies, and governance standards
• Evaluate new approaches to improve model performance and reliability
• Work closely with data scientists, engineers, and product teams
• Align AI solutions with business and customer requirements
• Mentor junior data scientists and support technical development

Technical Delivery

• Build and improve machine learning pipelines and frameworks
• Use big data technologies (e.g. Spark, Hadoop, AWS ecosystems)
• Support deployment of AI systems into production environments

Requirements

Experience

• 6-10+ years experience in Data Science / Machine Learning roles
• Experience working with large-scale production AI systems

Technical Skills

• Experience with ML frameworks and deep learning models
• Hands-on experience with LLMs (e.g. GPT-style models, transformers)

Knowledge Areas

• Machine learning algorithms (deep learning, boosting, random forests)
• Data-driven product development and experimentation
• Model governance, evaluation, and deployment practices

Soft Skills

• Strong problem-solving and analytical mindset
• Ability to lead technical discussions and mentor others
• Comfortable working in cross-functional global teams
• Flexible working hours with focus on productivity and balance
• Collaboration with international teams across multiple time zones
• Hybrid working model (office + remote depending on team structure)
• Strong emphasis on learning, development, and AI innovation