What Youll 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).