Data Scientist
Fractal Analytics
Data Scientist
Fractal Analytics
Enterprise AI solutions for decision making
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Job Location : PUNE
Position_Description:
The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.
Role Brief:
5-11 years of Analytics/Predictive Modeling using Python/R, SQL and Machine Learning with strong project management skills
Technical and domain expertise-
Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model etc
Execution excellence -
Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.
Job Responsibilities:
The Person:
Experience:
Education:
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Enterprise AI solutions for decision making
Fractal Analytics provides AI-powered analytics and decision-support solutions for large enterprises, including Fortune 500 companies. Its products combine data science, machine learning, and natural language processing to extract insights, automate tasks, and enable conversations: Crux Intelligence (BI), Senseforth.ai (conversational AI), Eugenie.ai (sustainability), and Asper.ai (revenue growth). The company differentiates itself with a broad, enterprise-focused product portfolio and a global delivery footprint of 4,000+ employees across 16 locations, plus industry analyst recognition and workplace awards. Its goal is to power every human decision in the enterprise by bringing AI, engineering, and design together to help leading companies make better decisions.
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