Lead Data Scientist

Carbon Data Solutions; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Carbon Data Solutions is seeking an experienced AI leader to drive the design, development, and deployment of advanced analytics and ML solutions. You will translate business needs into predictive and prescriptive models, manage end-to-end project delivery, and mentor a team of data scientists.

The role emphasizes collaboration with engineering teams, platform partners, and business leaders to deliver scalable AI solutions with measurable impact.

Qualifications

• Advanced degree or equivalent experience in a data-focused field.
• 7+ years leading data science, ML, or analytics initiatives.
• Strong modeling, ML/DL, and AI system deployment experience.

Responsibilities

• Lead design, development, and deployment of AI/ML and analytics solutions.
• Translate business requirements into data-driven problem statements and models.
• Drive end-to-end AI/ML project delivery including deployment and monitoring.
• Lead advanced use cases like anomaly detection and predictive maintenance.
• Mentor and coach a team of data scientists, ensuring high-quality work.
• Collaborate with stakeholders and engineering partners to scale AI solutions.
• Evaluate new AI/ML technologies and establish governance and roadmaps.

Skills

AI/ML

Data Science

Forecasting

NLP

Deep Learning

Gen AI

LLMs

Education

Bachelor's or Master's Degree in Computer Science or related field

Tools

Python

PySpark

SQL

Notebooks (Jupyter/Zeppelin)

Cloud AI platforms

Job description

Key Responsibilities

• Lead the design, development, and deployment of AI, Machine Learning, and advanced analytics solutions that solve complex business challenges and drive strategic outcomes.
• Translate business requirements into data-driven problem statements and develop predictive, prescriptive, and Generative AI models using modern AI technologies.
• Drive end-to-end AI/ML project delivery, including data exploration, feature engineering, model development, validation, deployment, monitoring, and optimization.
• Lead the development of advanced use cases such as anomaly detection, predictive maintenance, planning optimization, customer experience enhancement, and intelligent automation.
• Mentor, coach, and provide technical leadership to a team of data scientists, ensuring high-quality deliverables and continuous capability development.
• Collaborate with business leaders, engineering teams, platform engineers, and external partners to deliver scalable AI solutions with measurable business impact.
• Evaluate, recommend, and implement emerging AI, Machine Learning, Generative AI, and analytics technologies while driving innovation through research and proof-of-concepts.
• Establish AI/ML best practices, governance, model performance standards, and technical roadmaps to support enterprise-wide AI adoption.

Key Requirements

• Bachelor's or Master's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field.
• Minimum 7+ years of experience in Data Science, Machine Learning, and Advanced Analytics, including experience leading enterprise AI initiatives.
• Strong expertise in statistical modeling, supervised and unsupervised learning, time series forecasting, NLP, deep learning, Generative AI, and Large Language Models (LLMs).
• Advanced programming skills in Python, PySpark, SQL, and experience with Jupyter/Zeppelin Notebooks and big data platforms.
• Proven experience designing, deploying, and optimizing production-scale AI/ML models using MLOps and cloud-based AI platforms.
• Experience leading technical teams, mentoring data scientists, and managing AI/ML projects in Agile environments.
• Excellent stakeholder management, communication, and presentation skills, with the ability to translate complex technical concepts into business insights.
• Strong analytical thinking, problem-solving abilities, and a passion for driving innovation through AI, Machine Learning, and data-driven decision-making.

Originally posted on Himalayas