Head Data Scientist

IPI Technolab; United States; Remote; USD 140,000 - 230,000; Full time

Job summary

IPI Technolab is seeking a Head of Data Science to lead the data science and AI agenda, aligning with business goals and driving impact across products and operations.

The role requires hands-on leadership of data scientists and ML engineers, overseeing model development, deployment, and governance while promoting responsible AI and data privacy. Strong collaboration with engineering and product teams is essential.

Qualifications

• Requires a degree in a quantitative field or closely related discipline.
• PhD is an asset for research-focused roles.
• Typically 5–12 years of relevant leadership experience for Head of Data Science roles.
• Strong proficiency in Python, SQL, statistics, machine learning, deep learning, and predictive modelling.
• Hands-on experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with Generative AI, LLMs, NLP, and AI-powered applications.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Experience with MLOps, model deployment, data pipelines, and large-scale data processing.
• Proven ability to lead technical teams, manage complex projects, and deliver measurable business outcomes.
• Strong strategic thinking, analytical problem-solving, and stakeholder management skills.
• Excellent written and verbal communication skills.

Responsibilities

• Define and execute the data science and AI strategy aligned with business goals.
• Lead, mentor, and manage data scientists, machine learning engineers, and analytics teams.
• Oversee the design, development, testing, and deployment of machine learning and deep learning models.
• Drive the adoption of Generative AI, Large Language Models (LLMs), predictive analytics, and automation solutions.
• Develop scalable data science solutions to improve business performance, customer experience, and operational efficiency.
• Collaborate with engineering, product, and business teams to identify opportunities for data-driven innovation.
• Establish best practices for model development, validation, deployment, monitoring, and MLOps.
• Ensure data quality, model reliability, data privacy, and responsible AI governance.
• Communicate analytical findings and strategic recommendations to senior leadership and business stakeholders.
• Manage project roadmaps, resource allocation, budgets, and delivery timelines.
• Evaluate emerging AI technologies and identify opportunities to improve products and business processes.

Skills

Python

SQL

Statistics

Machine learning

Deep learning

Predictive modelling

TensorFlow

PyTorch

Scikit-learn

Generative AI

LLMs

NLP

AWS

Azure

Google Cloud

MLOps

Data pipelines

Distributed teams leadership

Communication

Education

Bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering

PhD in a relevant discipline

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Role & responsibilities

• Define and execute the data science and AI strategy aligned with business goals.
• Lead, mentor, and manage data scientists, machine learning engineers, and analytics teams.
• Oversee the design, development, testing, and deployment of machine learning and deep learning models.
• Drive the adoption of Generative AI, Large Language Models (LLMs), predictive analytics, and automation solutions.
• Develop scalable data science solutions to improve business performance, customer experience, and operational efficiency.
• Collaborate with engineering, product, and business teams to identify opportunities for data-driven innovation.
• Establish best practices for model development, validation, deployment, monitoring, and MLOps.
• Ensure data quality, model reliability, data privacy, and responsible AI governance.
• Communicate analytical findings and strategic recommendations to senior leadership and business stakeholders.
• Manage project roadmaps, resource allocation, budgets, and delivery timelines.
• Evaluate emerging AI technologies and identify opportunities to improve products and business processes.

Preferred candidate profile

• Bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• PhD in a relevant discipline is an advantage for research-focused roles.
• Typically 5 to 12 years of relevant experience for a Head of Data Science position; candidates with 5 to 10 years may be considered based on leadership experience and technical expertise.
• Strong proficiency in Python, SQL, statistics, machine learning, deep learning, and predictive modelling.
• Hands-on experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with Generative AI, LLMs, NLP, and AI-powered applications.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Experience with MLOps, model deployment, data pipelines, and large-scale data processing.
• Proven ability to lead technical teams, manage complex projects, and deliver measurable business outcomes.
• Strong strategic thinking, analytical problem-solving, and stakeholder management skills.
• Excellent written and verbal communication skills.
• Ability to work independently and lead distributed teams in a remote environment.