Data Scientist / Applied AI Scientist - Remote

Overview

We are seeking a talented Data Scientist to join our AI and Data Science team. This role involves leveraging analytical expertise and machine learning skills to develop predictive models and innovative data-driven solutions. Your contributions will have a direct impact on critical areas such as pricing optimization, customer segmentation, and expert matching. If you are passionate about applying AI to solve real-world challenges and driving meaningful business outcomes,

In Short

• As an individual contributor, provide analytical thought leadership to drive strategy, suggest new analyses, statistical/ML frameworks, testing methods and infrastructure improvements to drive value for the business.
• Collaborate with stakeholders to define problem statements, develop new signals using JA data incl. conversational data, develop hypotheses and translate them into analytical solutions and actionable insights presented to wider audiences.
• Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), implement and track trends in business metrics that will help drive the business.
• Own outcomes of deep dive analyses, by covering problem definition, metrics development and implementation, data extraction, visualization and presentation to the stakeholders.
• Develop machine learning models to solve business problems related to customer segmentation, customer retention, conversation quality, and revenue optimization.
• Become a go to AI/ DS expert who directly and indirectly oversees the model development and advanced statistical work of other analysts.
• Test, validate, and optimize models to ensure performance and scalability.

Requirements

• Education: Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, Econometrics, or Statistics.
• Experience: 2-5 years in data science, machine learning, or product analytics roles focused on model development.
• Technical Skills: Proficiency in SQL and Python; experience with BigQuery preferred.
• Strong programming abilities, including familiarity with ML libraries such as TensorFlow, PyTorch, or Keras.
• Hands-on experience with statistical methods and machine learning techniques, including regression, classification, clustering, time series analysis, and frameworks like Naive Bayes, XGBoost, and neural networks.
• Basic knowledge of NLP, computer vision, or reinforcement learning.

Benefits

• Work in a remote-first/hybrid environment with a focus on employee well-being.
• Be part of a mission-driven company that values diversity and inclusion.
• Opportunity to work with a talented team and contribute to meaningful projects.