Senior Data Scientist

Ovii's Interpretation of the Role

Senior Data Scientist leading the design, development, and deployment of production‑grade AI/ML solutions for industrial uptime. Works at the intersection of data science and physical sciences to turn noisy sensor streams into actionable, physics‑consistent insights.

Role Snapshot

• Lead AI/ML model development for predictive maintenance
• Deploy production‑grade industrial AI pipelines
• Integrate physics‑based (first‑principles) models with data‑driven ML
• Mentor and provide technical leadership to data scientists
• Collaborate with product, engineering, and customer‑success teams
• Drive model interpretability, scalability, and low‑latency inference

Must-Have Requirements

• Python
• TensorFlow/PyTorch
• Scikit-learn
• SQL
• Cloud ML platforms (AWS, Azure, GCP)
• Time-series sensor data handling
• Hybrid physics‑ML modeling
• ML model development and deployment in manufacturing/energy/oil & gas/power
• Handling high‑dimensional time‑series sensor data
• Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, Applied Physics, or Computer Science with heavy industry experience

Nice-to-Have Signals

• Publishing whitepapers or patents
• Edge‑computing constraints experience
• Publishing research (whitepapers, patents)
• Edge‑computing deployment

Work Setup

• Location: Bangalore, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design, develop and ship advanced AI/ML models for predictive maintenance and process optimization
• Guide the team in handling high‑dimensional, time‑series sensor data from IoT, SCADA and DCS systems
• Integrate first‑principles physics models with data‑driven approaches to ensure physical consistency
• Lead feature‑engineering strategies for high‑frequency telemetry and transient‑state detection
• Operationalize models into robust, low‑latency inference pipelines that meet edge‑computing constraints
• Partner with product, engineering and customers to validate models and deliver measurable business outcomes
• Mentor data scientists, champion best practices and drive technical up‑skilling
• Stay ahead of emerging AI/ML techniques and contribute thought leadership (papers, patents, conferences)

Good Fit If You Have

• Strong problem‑solving mindset and ability to influence senior stakeholders
• Experience in manufacturing, energy, oil & gas, or power sectors
• Background in chemical, mechanical, aerospace, applied physics or CS with heavy industry exposure