Remote Senior Data Scientist - AI/ML Innovation

About the Role

Our client, a cutting-edge technology firm specializing in artificial intelligence and machine learning, is seeking a highly accomplished Senior Data Scientist to join their fully remote, global team. This pivotal role will focus on developing and deploying advanced AI/ML models to solve complex business challenges and drive innovation. You will work on challenging projects, from data exploration and feature engineering to model development, validation, and deployment. As a remote contributor, you will collaborate extensively with data engineers, software developers, and product managers across various locations. This is an exceptional opportunity for a seasoned data scientist to contribute to groundbreaking AI initiatives and have a significant impact on the company's trajectory, all while enjoying the flexibility of remote work.

The ideal candidate is a pragmatic problem-solver with a strong theoretical foundation and practical experience in building and deploying ML models in production environments. We value deep analytical thinking and a proactive approach to tackling complex datasets.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms.
• Conduct exploratory data analysis to uncover insights and identify patterns.
• Perform feature engineering and selection to optimize model performance.
• Validate and test models rigorously to ensure accuracy and reliability.
• Deploy ML models into production environments and monitor their performance.
• Collaborate with data engineers to build scalable data pipelines.
• Work closely with product managers and stakeholders to understand business needs and translate them into data science solutions.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest research and advancements in AI/ML.
• Mentor junior data scientists and contribute to best practices within the team.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7 years of hands-on experience in data science and machine learning.
• Proven experience in developing and deploying production-ready ML models (e.g., classification, regression, clustering, deep learning).
• Proficiency in programming languages such as Python or R and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
• Strong understanding of statistical modeling, experimental design, and A/B testing.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving, analytical, and critical-thinking skills.
• Strong communication and collaboration skills, especially for remote team dynamics.
• Ability to work independently and manage complex projects effectively.
• Experience with MLOps practices is a plus.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous stock options or equity.
• Remote work flexibility with a home office stipend.
• Unlimited paid time off.
• Access to cutting-edge AI/ML research and development.
• Opportunities for professional growth and attending top conferences.
• Collaborative and innovative global team culture.