Data Scientist - AI, ML & Agentic Automation

Overall Experience: 7+ years

Work mode: Hybrid/ Remote

About the role:

Cybage Software is looking for a highly analytical and solution-oriented Data Scientist to design, develop, and deploy scalable AI/ML and automation solutions for global clients and leading brand portfolios.

This role sits at the intersection of data science, advanced analytics, automation, and emerging agentic AI systems , helping transform complex business challenges into impactful, production-ready solutions.

You will work closely with architects, engineers, analytics teams, and business stakeholders to build intelligent systems that drive measurable business outcomes.

Key Responsibilities:

• Design and develop scalable Data Science, Machine Learning, and automation solutions.
• Build predictive models, analytical frameworks, and intelligent workflows using modern DS/ML techniques.
• Explore and apply emerging technologies in AI, automation, agentic AI, and data enrichment.
• Perform data preparation, feature engineering, hypothesis testing, experimentation, and model evaluation.
• Translate business problems into robust analytical solutions and actionable insights.
• Work with large-scale, multi-source datasets while ensuring data quality, governance, and reliability.
• Collaborate with engineering teams to productionize models and automation pipelines.
• Monitor model performance, troubleshoot issues, and continuously optimize solutions.
• Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.

Required Skills & Experience:

• 4+ years of experience in Data Science, Applied Analytics, or ML Engineering.
• Strong hands-on experience with: Python (Pandas, NumPy, Scikit-learn, SciPy, Statsmodels), SQL and large-scale data handling, Statistical modelling and Machine Learning techniques
• Experience with: Data preparation and feature engineering, Predictive modelling and experimentation, Automation workflows and AI-driven analytics, Git/version control and collaborative development workflows
• Understanding of modern AI/GenAI concepts such as: LLMs, RAG pipelines, Agentic AI workflows, Intelligent automation
• Experience with audience analytics, customer insights, or marketing analytics is preferred.
• Familiarity with data visualization and reporting platforms beyond Power BI/Tableau.
• Strong problem-solving, communication, and stakeholder management skills.
• Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or related quantitative fields.

Good to Have:

• Exposure to AWS, Azure, or GCP.
• Experience with MLOps, CI/CD, or production model deployment.
• Knowledge of data governance, data quality frameworks, and platform integration practices.