Jobgether
Website:
jobgether.com
Company:
https://www.linkedin.com/company/jobgether
Seniority: Not Applicable
Industries: Internet Marketplace Platforms
Job details:
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist, Senior-Level based in India.
This is a senior-level opportunity for a data and AI professional who wants to influence enterprise-wide transformation initiatives.
You will help shape modern data ecosystems and develop intelligent, agentic AI solutions from strategy through end-to-end delivery.
The role combines hands-on data science expertise with product ownership, technical architecture, governance, and client advisory responsibilities.
You will translate complex business needs into structured backlogs, roadmaps, and scalable Data & AI solutions.
Your work will focus on building modular, reusable capabilities that can operate effectively across sophisticated enterprise environments.
You will collaborate with technical and business stakeholders, lead high-level discussions, and provide trusted guidance on emerging AI opportunities.
This position is ideal for an experienced professional who combines strong analytical foundations with strategic thinking, technical leadership, and a passion for innovation.
Accountabilities
- Design, build, and orchestrate agentic AI workflows, generative AI applications, LLM-based solutions, and intelligent autonomous systems.
- Translate business objectives and user needs into structured product backlogs, user stories, technical requirements, and execution roadmaps.
- Take ownership of Data & AI initiatives from strategic definition through architecture, development, implementation, and delivery.
- Design modular, scalable, and reusable Data and AI components that can be applied across complex enterprise environments.
- Apply strong data stewardship practices covering data quality, lifecycle management, privacy, governance, security, and production readiness.
- Bridge business and technical requirements by collaborating closely with stakeholders, project managers, engineers, data professionals, and other cross-functional teams.
- Act as a trusted technical advisor, leading demonstrations, architecture discussions, technical workshops, and high-level stakeholder conversations.
- Identify opportunities to improve enterprise data ecosystems and accelerate the adoption and scaling of advanced AI capabilities.
- Provide technical leadership throughout delivery, helping teams make sound architectural and implementation decisions.
- Communicate complex Data & AI concepts clearly to diverse, multicultural stakeholders and help align technical solutions with strategic business outcomes.
Requirements
- 5+ years of professional experience in Data Science, Machine Learning, AI Architecture, or a closely related field.
- Strong foundations in statistics, mathematics, machine learning, and modern cloud-native data platforms.
- Proven experience designing, building, or orchestrating agentic AI systems, generative AI solutions, LLM applications, or intelligent autonomous workflows.
- Strong product ownership mindset, with the ability to translate business requirements into product backlogs, user stories, priorities, and actionable roadmaps.
- Deep understanding of data quality, data lifecycle management, privacy, governance, and data stewardship practices.
- Ability to architect modular, scalable, reusable Data & AI components across complex enterprise technology environments.
- Strong technical leadership and client-facing advisory skills, including experience leading demonstrations, technical discussions, and stakeholder engagements.
- Excellent problem-solving and analytical capabilities, with the ability to connect technical decisions to business objectives.
- Strong communication and collaboration skills, particularly when working with cross-functional and multicultural teams.
- Fluent English at B2 level or higher, with the confidence to communicate, influence, and collaborate with global stakeholders.
- Ability to work independently while taking ownership of complex initiatives and contributing effectively within multidisciplinary teams.
- Passion for emerging AI technologies, enterprise transformation, continuous innovation, and building production-ready solutions.
Benefits
- Work Flexibility: Remote work opportunity.
- Professional Impact: Contribute to large-scale Data & AI transformation initiatives and help shape intelligent enterprise solutions.
- Technical Innovation: Work with generative AI, agentic systems, LLM applications, cloud-native data platforms, and modern AI architectures.
- Leadership Opportunities: Serve as a technical advisor and influence architecture, product direction, and strategic technology decisions.
- Global Collaboration: Work with diverse, multicultural stakeholders across complex enterprise environments.
- Career Growth: Expand expertise across data science, AI architecture, product ownership, governance, and enterprise transformation.
- Strategic Exposure: Gain experience connecting business strategy with scalable technical solutions and end-to-end AI delivery.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Click on Apply to know more.