Senior Data Scientist - Remote

Overview

As Conexiom continues to be experiencing significant growth, we are scaling our data science initiatives to the next level. Conexiom’s data scientist is a problem-solver, and we are building real-world Machine Learning (ML) solutions in an enterprise product suite to further position Conexiom as a thought leader in the business automation space. You will be working in a fast-paced Agile environment with a proven ML product already in the market, a strong team and seniors to assist you in taking the next steps in your career.

In Short

• Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks.
• Conduct and validate model performance through comprehensive evaluation metrics.
• Analyze large datasets to extract actionable insights and trends.
• Implement machine learning models into production environments, ensuring scalability and reliability.
• Monitor and maintain the performance of deployed models, making updates and improvements as necessary.
• Work closely with the data engineer and Principal ML engineer.
• Stay updated with the latest advancements in machine learning, AI, and data science.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
• 3+ years' experience in implementing scalable ML systems into the production environment.
• Experience in all parts of the lifecycle of ML projects, including initial conceptualization, data handling, model development, and deployment.
• Proficiency in programming languages, including Python.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
• Experience developing Python APIs using tools such as FastAPI.
• Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools.
• Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation.
• Familiar with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Experience building an enterprise-class business automation solution is a plus.
• Experience working in a SaaS environment a plus.

Benefits

• Training and development opportunities
• Competitive compensation
• Work/Life balance – Open PTO Policy in North America & Flex days in the UK
• Comprehensive health, dental, & vision insurance