We are looking for a Data Scientist to help analyze our growing data, build data-driven solutions, and deliver actionable insights that will support key business decisions and innovations across teams. Key Responsibilities: - Collect, clean and preprocess structured/unstructured data from multiple sources - Analyze large datasets to discover trends, patterns and insights that can drive strategy - Build and train predictive / statistical / machine-learning models to solve business problems - Design and implement data pipelines / ETL workflows where necessary - Visualize and communicate findings via reports or dashboards to both technical and non-technical stakeholders - Collaborate with product, engineering, and business teams to identify opportunities for data-driven features and solutions - Monitor and maintain the performance, reliability, and integrity of data models (especially those in production) - Stay updated with the latest developments in data science / analytics / ML and apply them when relevant Required Qualifications: - Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics or related field - Proficiency in Python (or R), data manipulation libraries, and SQL (or equivalent database/querying tools) - Strong knowledge of statistics, machine learning / modeling techniques, and data analysis fundamentals - Experience working with large and complex datasets; data cleaning and preprocessing experience - Analytical mindset, problem-solving skills, attention to detail - Good communication skills, ability to turn technical results into actionable business insights - Ability to collaborate well with cross-functional teams Preferred / Nice-to-have: - Familiarity with data visualization tools (Tableau, Power BI, or equivalent) or Python/R visualization libraries - Experience with Big Data tools (Spark/Hadoop) and handling large-scale data pipelines - Exposure to cloud computing platforms (AWS, GCP, Azure) for data processing or storage - Experience in deploying ML models / working in production environment - Basic understanding of data engineering practices (ETL, data warehousing, pipelines)

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.