Senior Data Scientist, AI/ML Systems (Remote, US)

Industry & Sector

Remote-first organization operating in the Technology & Data Analytics sector, building AI-driven analytics and production ML systems for enterprise customers. We deliver data products and scalable machine-learning solutions that power business insights, automation, and intelligent decisioning across domains. This is a fully remote role for candidates located in the United States.

Primary Title: Data Scientist (Remote, United States)

Role & Responsibilities

• Design, develop, and validate ML models (classification, regression, ranking, NLP) to solve core business problems and improve product metrics.
• Build reproducible end-to-end pipelines for feature engineering, training, evaluation, and model validation using production data.
• Productionize models: containerize, expose model APIs, and collaborate with engineering to deploy via CI/CD and monitoring frameworks.
• Implement experiment tracking, model versioning, performance monitoring, and drift detection to ensure model reliability in production.
• Translate product and business requirements into measurable ML solutions; design experiments and A/B tests to validate impact.
• Document solutions and promote best practices for reproducibility, code quality, and model governance; mentor junior data scientists.
  
  

Skills & Qualifications

Must-Have (technical skills)

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• Python
• SQL
• Pandas
• scikit-learn
• TensorFlow
• Docker
  
  

Preferred

• PyTorch
• Apache Airflow
• MLflow
  
  

Qualifications

• Bachelor's or Master's in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience.
• Proven track record of delivering production ML models and data-driven features in a software environment.
• Strong foundation in statistics, experimental design, and model evaluation metrics.
• Experience collaborating cross-functionally with product, engineering, and business stakeholders.
  
  

Benefits & Culture Highlights

• Fully remote US-based team with flexible work hours and asynchronous collaboration.
• Competitive compensation, professional development support, and opportunities to own end-to-end ML solutions.
• Inclusive, impact-driven culture that values engineering excellence, data-driven decisions, and continuous learning.
  
  

Why apply: This role is ideal for hands-on Data Scientists who enjoy moving models from prototype to production, working across the ML lifecycle, and delivering measurable product impact in a fast-paced, remote environment. Keywords: Data Scientist, machine learning, model deployment, Python, SQL, TensorFlow, remote.

Skills: data,docker,scikit-learn,tensorflow,python,sql,pandas,analytics,scientists