Senior Data Scientist

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About the Company :

UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream / downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would.

About the Role :

We are seeking a highly experienced Senior Data Science with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI / ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics.

Responsibilities :

Lead AI / ML teams to design solutions that align with real-world industrial use cases

Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams

Define product requirements and influence roadmap based on domain knowledge and market needs

Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering

Support GTM teams in customer discussions, industry presentations, and positioning of the product offering

Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points

Qualifications :

4- 8years of total experience, with hands-on experience with Data Science / AI / ML teams

Mandatory : Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals

Proven track record in developing and launching B2B SaaS products for industrial environments

Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation

Familiarity with industrial asset management, maintenance operations, and reliability engineering

Excellent communication skills with the ability to bridge the gap between business and technical stakeholders

Preferred : MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research)

Required Skills :

Global exposure across different geographies and regulatory environments

Prior experience working with digital twins, SCADA, CMMS, or EAM systems

Published thought leadership or public speaking experience at industry forums

Pay range and compensation package :

Impact Industry-Wide Change : Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients.

Collaborative and Growth-Oriented Environment : Join a talented, passionate team that values innovation, continuous learning, and professional growth.

Opportunities for Leadership and Innovation : Lead pioneering projects, influence product development, and shape the future of industrial AIsolutions.

Equal Opportunity Statement :

UptimeAI is committed to diversity and inclusivity in the workplace.

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