Remote Data Scientist / Applied AI Scientist

Description:

• 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.
• As an individual contributor, you will provide analytical thought leadership to drive strategy, suggest new analyses, statistical/ML frameworks, testing methods, and infrastructure improvements to drive value for the business.
• You will collaborate with stakeholders to define problem statements, develop new signals using JA data including 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, covering problem definition, metrics development and implementation, data extraction, visualization, and presentation to 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.
• Analytical Expertise: Strong foundation in descriptive and inferential statistical analysis, as well as advanced experimental design.
• Preferred Qualifications: Experience in e-commerce, product, or retail analytics. Proficiency in NLP and text analytics techniques. Familiarity with large language models (LLMs) and prompting. Understanding of CI/CD pipelines for machine learning model deployment.
• Core Competencies: Strategic thinking, technical proficiency, collaboration, communication, innovation, and ownership.

Benefits:

• Time off throughout the year (paid and unpaid).
• Professional development support and encouragement.
• Resources to help improve your overall well-being.
• Free membership to dive into JA product.
• A remote-first work environment with occasional in-person team meetings for collaboration or social events.
• Commitment to diversity and inclusion in the workplace.