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Companies across Hyderabad are hiring skilled Data Scientists with 0 to 8 years of experience to develop, analyze, and deploy data-driven models that support business growth and digital transformation. In this role, professionals collaborate with business analysts, data engineers, product teams, and machine learning engineers to extract insights from structured and unstructured data. Opportunities are open for fresh graduates, junior analysts, mid-level data scientists, and senior analytics professionals across industries such as BFSI, healthcare, e-commerce, telecom, SaaS, and artificial intelligence.
Key responsibilities include data collection, data cleaning, exploratory data analysis (EDA), feature engineering, statistical modeling, and machine learning development. Candidates will work with large datasets, build predictive and classification models, evaluate performance metrics, and communicate results through data visualization and dashboards. Professionals with hands-on experience in Python, SQL, machine learning algorithms, cloud platforms, and real-time analytics will find strong career growth in Hyderabad’s expanding data science, analytics, and AI ecosystem.
The interview process for Data Scientist Jobs In Hyderabad includes online interviews conducted via Zoom, Google Meet, or Microsoft Teams, followed by face-to-face interviews at Hyderabad offices for shortlisted candidates. It typically involves an initial screening, a technical discussion or case study, and a final HR evaluation.
Technical and HR rounds conducted via Zoom, Google Meet, or Microsoft Teams.
In-person interview at Hyderabad office locations for shortlisted candidates.
Screening round, technical discussion or case study, followed by HR evaluation.
Cybotrix Technologies offers strong hiring opportunities for Data Scientist Jobs In Hyderabad across diverse industries including Banking & FinTech, Healthcare & Pharma, Retail & E-commerce, Telecom & Media, and Manufacturing. Additional demand comes from Government and Education, Logistics & Supply Chain, and fast-growing AI & SaaS startups, driving roles in analytics, AI, and data-driven decision making across sectors.
BFSI, payments, risk analytics, fraud detection
Clinical analytics, bioinformatics, health AI
Customer insights, demand forecasting
Network analytics, subscriber intelligence
Industrial analytics, quality optimization
Research analytics, policy data systems
Route optimization, operations analytics
ML platforms, product intelligence
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