Lead Data Scientist (AI/ML)

TL;DR

Lead Data Scientist (AI/ML): Designing and implementing statistical models, machine learning algorithms, predictive analytics, and agentic systems to solve complex business problems with an accent on end-to-end ML pipelines and team leadership. Focus on developing innovative data-driven solutions, collaborating with cross-functional teams, and communicating technical insights to stakeholders.

Company

Global provider of enterprise AI products and services with offices in North America, Asia, and Latin America, serving industries like retail, manufacturing, and government.

What you will do

• Lead a team of data scientists to develop innovative solutions for complex business problems.
• Collaborate with business stakeholders, product managers, software engineers, and data engineers on data-driven solutions.
• Assess client business needs and identify AI applications to improve processes, reduce costs, or increase revenue.
• Design and implement statistical models, ML algorithms, predictive analytics, and agentic systems.
• Develop, deploy, and manage end-to-end machine learning pipelines ensuring data quality and system stability.
• Mentor junior data scientists and stay current with advancements in data science and AI.

Location not specified.

Requirements

• No immigration sponsorship or work authorization support provided, including H-1B, J-1, TN visas, OPT, STEM OPT, or CPT.
• Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or related field.
• 6+ years experience as Data Scientist or Machine Learning Engineer.
• Strong Python programming skills.
• Hands-on experience with ML frameworks like PyTorch or TensorFlow.
• Experience with cloud environments such as AWS, GCP, Azure.
• Experience leading data science teams.
• Excellent communication skills and ability to manage multiple projects.

Nice to have

• R, C++, SQL, Gen AI.
• Experience in finance, healthcare, e-commerce, retail, or marketing.

Culture & Benefits

• Equal Opportunities Employer committed to diversity and inclusion.