Climate & Environment
Full-time
Senior Data Scientist
Bidgely
Location
Bangalore, India
Type
Full-time
Posted
May 06, 2025
Mission
What you will drive
- Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data
- Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches
- Productize proven or working models into production quality code
- Collaborate with product management, marketing and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions
Impact
The difference you'll make
This role accelerates a clean energy future by enabling energy companies and consumers to make data-driven energy-related decisions through AI-powered solutions.
Profile
What makes you a great fit
- Strong experience in data mining, machine learning and statistical analysis
- BS/MS/PhD in Computer Science, Statistics, Applied Math, or related areas
- Experience in productizing models to code in a fast-paced start-up environment
- Expertise in Python programming language and fluency in analytical tools
- Strong intuition for data and keen aptitude on large scale data analysis
- Strong communication and collaboration skills
Benefits
What's in it for you
- Growth Potential with a Startup: Seize the opportunity to grow with an innovative startup
- Collaborative Environment: Work with a passionate team united by the goal of a clean energy future
- Unique Tools: We provide all the tools you need to excel in your role
- Group Health Insurance, Internet/Telephone Reimbursement, Professional Development Allowance, Gratuity etc
- Mentorship Programs: Opportunity to learn and receive mentorship from industry experts
- Flexible Work Arrangements: Benefit from flexible working arrangements, Work anywhere from India
About
Inside Bidgely
Bidgely is an AI-powered SaaS Company accelerating a clean energy future by enabling energy companies and consumers to make data-driven energy-related decisions.