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Data Scientist

Data Scientist

IBM

3 - 6 years

7 - 12 Lacs

bengaluru

Posted:5 hours ago| Platform:

Apply

Skills Required

python machine learning deep learning data science ml mathematics big data technologies microsoft azure data engineering artificial intelligence sql nosql database management tensorflow ops git pytorch aws big data cloud computing statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Data Scientist role requires a highly analytical individual proficient in Python programming, database management, and data science methodologies. You’ll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development.Key Responsibilities:

Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making.

Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends.

Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling.

Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges.

ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices to ensure efficient model deployment and management.

Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing.

Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration.

AI-Driven Product Development: Design, create, and support AI-driven products to deliver impactful solutions aligned with user needs and business objectives.
Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise

Industry Experience: Minimum 8+ years of experience in the IT industry.

Technical Proficiency: Proficient in Python programming, NLP techniques, and AI Frameworks (e.g., Hugging Face). Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.Familiarity with big data technologies and data engineering practices.

Database Management: Knowledge of SQL and NoSQL database management.

Data Science
Skills:

Strong background in data science, statistics, mathematics, and analytical techniques.

Machine Learning Expertise: Expertise in machine learning and deep learning methodologies, including foundation models.
Preferred technical and professional experience

Deep Learning Experience: Hands-on experience in data science for 8+ years with a minimum of 4 years in deep learning.

Cloud Computing Experience: Experience with cloud computing platforms (AWS/Azure/Google/IBM) for leveraging advanced cloud-based services.

Big Data Technologies:Familiarity with big data technologies and data engineering practices. Familiarity with MLOps practices and tools (e.g., MLflow, Airflow).

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Data Scientist