Senior Data Scientist

Senior Data Scientist Jobs at Bidgely Inc. Senior Data Scientist Bangalore, India Category: Product Type: Full-time Min. Experience: Some Experience Senior Data Scientist

Who We Are Bidgely (which means "electricity" in Hindi) is an AI-powered SaaS Company accelerating a clean energy future by enabling energy companies and consumers to make data-driven energy-related decisions. Ranked #7 in Applied AI on Fast Company’s list of Most Innovative Companies in the World, Bidgely is putting customers at the center of the clean energy future. What We Do Powered by our unique patented technology, Bidgely's UtilityAI™ Platform transforms multiple dimensions of customer data - such as energy consumption, demographics, and interactions into deeply accurate and actionable consumer energy insights. We leverage these insights to empower each customer with personalized recommendations tailored to their individual personality and lifestyle, usage attributes, behavioral patterns, purchase propensity and beyond. How We Do It From a distributed energy resources (DER) and grid edge perspective, Bidgely is advancing smart meter innovation with data-driven solutions for solar PVs, electric vehicle (EV) detection, EV behavioral load shifting and managed charging, energy theft, short-term load forecasting, grid analytics and time of use (TOU) rate designs. Bidgely’s UtilityAI™ energy analytics provides deep visibility into generation and consumption for better peak load shaping and grid planning and delivers targeted recommendations for new value-added products and services. For more information, please visit www.bidgely.com or the Bidgely blog at bidgely.com/blog . How You Fit In Job Description Bidgely is looking for extraordinary and dynamic Data Scientists to be part of its core team in Bangalore. You must have delivered advanced statistical and machine learning models as part of commercial products and created substantial intellectual property with business impact. You must enjoy working with large data and finding interesting patterns in the data through analytics experiments in a methodical and data driven scientific way. Be part of a highly energetic and innovative team that believes nothing is impossible with some creativity and hard work. Roles and

Responsibilities ● 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 ● Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas to key decision makers. ● File patents for innovative solutions that add to company's IP portfolio

Requirements ● 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.. Evaluation Criteria: ● Hands-on coding. Basic algorithm implementation in Python ● Problem-Solving: Including logical thinking, Reasoning ● Statistics knowledge ● Basic Data Science discussion on associated algorithms, etc About You: We’re looking for candidates with a proven ability to work effectively with all levels within the organization, a strong aptitude for idea generation and the ability to work with the subtleties of experience design, analytics, and data-driven iteration. Passionate about a clean energy future Enjoy Ambiguity - You thrive in an environment that is fast-paced, challenging, and has many unknowns Innovative - You challenge the status quo to drive impact Results driven - Be dedicated to delivering stellar outcomes, and accept nothing less. Know your goals, chart your path, and execute with precision and passion. Quality Focused - Quality is at the heart of everything you do. You take great pride in your work and are a trusted resource. What You Get

Perks 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 Diversity, Equity, Inclusion and Equal Opportunity Bidgely is an equal-opportunity employer. We are serious about and embrace diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills to build a better future and a better workforce. Our hiring decisions are based on your skills, talent, and passion – not on your background, gender, race, age, or the quirky way you dance at office parties. Bidgely is an EVerify employer. Apply for this job First name Last name Email address Location Phone number Resume Attach resume Attach another file Attach file Add another What is the name of your current employer? What are your salary

requirements? What is your earliest start date? What is the highest level of education you’ve obtained? No answer GED or Equivalent High School Some College College - Associates College - Bachelor of Arts College - Bachelor of Fine Arts College - Bachelor of Science College - Master of Arts College - Master of Science College - Master of Fine Arts College - Master of Business Administration College - Doctorate Medical Doctor Other Linkedin url Should be {http://www.linkedin.com/pub/[member-name/]x/y/z} or {http://www.linkedin.com/in/string} © 2014-2026 TriNet Group, Inc. All rights reserved. Privacy Policy