AI Engineer

Data Scientist

What You’ll Do:

• Develop scalable AI/ML, Generative AI, Chatbot & Multi-Agent solutions.
• Work with various data sources, including structured and unstructured data.
• Work with various teams and stakeholders, to understand the business requirement, and break them into goal based tasks.
• Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
• Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
• Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
• Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
• Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
• Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy
  

What Experience You Need

• BS degree in a STEM major or equivalent discipline
• 5-7 years of experience in a related analytical role
• Proven track record of designing and developing predictive models in real-world applications
• Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
• Cloud certification preferred
• Additional role-based certifications may be required depending upon region/BU requirements
  

What Could Set You Apart

• Passion for data science, data mining, machine learning and experience with big data architectures and methods
• Understanding and experience with deep learning techniques, TensorFlow.
• Problem solving skills.
• A Master's degree in a quantitative field (Statistics, Mathematics, Economics)