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Altysys - Senior Data Scientist - Artificial Intelligence/Machine Learning

Altysys
Multiple Locations
8 - 10 Years

Posted on: 23/12/2025

Job Description

Description :




Job Title : Senior Data Scientist


Location : Hyderabad / Pune


Experience : 8+ Years (Senior Level)



Qualification : Bachelors / Masters. Data Science, Artificial Intelligence & Machine Learning (AI/ML), Statistics, Mathematics, or related fields.



About the Role :


We are looking for an experienced Senior Data Scientist to lead and deliver advanced analytics and AI/ML solutions. The ideal candidate will work on large-scale datasets, build production-grade machine learning models, and collaborate closely with business, engineering, and product teams to drive data-driven decisions.


Roles & Responsibilities :



- Analyze large and complex datasets to uncover actionable insights and patterns.


- Design, develop, and optimize Machine Learning and AI models for predictive and prescriptive analytics.


- Collaborate with cross-functional teams to translate business requirements into scalable data solutions.


- Build and maintain data pipelines; perform data wrangling using Python, R, and SQL.


- Communicate insights through effective data visualization and storytelling.


- Evaluate, monitor, and continuously improve model performance.


- Deploy and manage ML/AI models on cloud platforms (AWS, Azure, or GCP).


- Ensure data quality, governance, and compliance with organizational standards.


Must-Have Skills :



- 8 to 10+ years of hands-on experience in Data Science / Machine Learning / AI projects.


- Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.


- Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.


- Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).


- Experience with data visualization tools : Power BI, Tableau, Matplotlib, Seaborn.


- Hands-on experience with cloud ML platforms (AWS SageMaker, Azure ML, Google AI Platform).


- Excellent analytical, problem-solving, and communication skills.


Good-to-Have Skills :



- Experience in Deep Learning, NLP, or Time Series Analysis.


- Exposure to MLOps and CI/CD pipelines for ML deployment.


- Experience in Prompt Engineering, RAG, Context Engineering, or Agentic AI.


- Relevant certifications or strong project portfolios in Data Science / ML.


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