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).(ref : hirist.tech)