Data Scientist
Location
Remote
Job Type
Full-Time
Experience Level
Entry-Level
Salary Range
20LPA - 40LPA
Job Description
Job Roles & Responsibilities - Analyze complex datasets to aid decision-making in logistics and FinTech sectors using Python. - Design and implement data-driven models to optimize transportation, delivery, and payment solutions. - Collaborate with teams to refine data collection processes ensuring high-quality data interpretation. - Lead initiatives to automate data analysis techniques for real-time insights and predictions. - Conduct thorough testing of data models to ensure reliability and accuracy. - Develop clear documentation for data models to facilitate understanding and adoption. Ideal candidate profile - Embrace and drive innovation with Python expertise. - Develop end-user focused solutions with immediate impact. - Collaborate across teams maintaining product integrity. - Thrive on rapid iteration and adaptation to product needs. - Exhibit problem-solving passion using Python fluency.
About Quickhyre AI
QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.
Connections
Sai Charan
Senior Developer
Kalpana Sharma
Team Lead
Rahul Patel
Full Stack Developer
Priya Singh
Frontend Developer
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