Senior Data Scientist

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JOB SUMMARY

You will be mainly working as a data scientist with additional roles and responsibilities as a lead data scientist in one of the following domains : NLP / GenAI / Voice, Graph Analytics, Geospatial AI, Capability building. You will work with a group of data scientists in a Research and Development group. The roles and task assignments in the team are dynamic, you along with other data scientists will work on multiple strategic projects with cutting edge innovation potential to create POCs of innovative ideas starting from ideation to development and implementation.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Collaborate closely with business stakeholders to understand their processes, business problems, challenges, and objectives. Identify opportunities to leverage AI and the respective domain expertise to drive efficiency, improve decision-making, and enhance customer experience.
• Goal alignment : Aligns stakeholder interests with the domain team's strategic objectives.
• Collaborate with a cross-functional team of data scientists, engineers, and subject matter experts to create and develop innovative AI solutions.
• Establishes a wide network of contacts across the organization to solicit information. Proactively reaches out and gathers key information.
• Experimentation and prototyping : Lead and strong individual contributor driving technology development for our AI research experimentation and innovative prototype development. Brings new emerging AI tech into relevant prototypes for the company. Facilitates the data science lifecycle from data collection to model deployment in collaboration with relevant stakeholders and partners.
• Identify, collect, and curate relevant data from diverse sources, including open-source, government, and internal infrastructure. Ensure data quality, privacy, and security compliance.
• Manage and oversee AI projects within your domain, ensuring timely delivery, adherence to quality standards, and alignment with business objectives.
• Creates and maintains roadmaps of the team to provide a high-level framework for strategy, timing and future work.
• Fosters a culture of innovation and knowledge sharing within the AI team. Shares insights, best practices, and technical concepts effectively to both technical and non-technical audiences.
• Ensures the success of the domain through management of the related projects along with appropriate stakeholder management.
• Stays up to date on the latest advancements in AI research and development; and communicates findings and technical concepts effectively to both technical and non-technical audiences.
• Serves as a subject matter expert in AI, providing guidance, consultation, and collaboration across the