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Senior Data Scientist

Senior Data Scientist

360DigiTMG

10 - 15 years

35 - 40 Lacs

hyderabad

Posted:None| Platform:

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Skills Required

logistic regression deep learning computer vision data science machine learning data collection mentor monitoring market forecasting python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Description:

We are looking for an experienced Machine Learning/Data Scientist to join our team and contribute to the development of cutting-edge market forecast models. The ideal candidate will have a strong foundation in machine learning, deep learning, and advanced statistical techniques, along with hands-on experience using modern ML tools and frameworks.

Key Responsibilities:

Design, develop, and implement sophisticated market forecasting models utilizing high-volume macroeconomic and industry driver data.
Apply advanced machine learning techniques such as NLP, Bayesian statistics, logistic regression, XGBoost, and deep learning architectures (multimodal, recurrent networks like LSTMs, transformers, attention mechanisms, etc.).
Manage the complete lifecycle of market forecasting models from data collection and exploration to model development, deployment, and monitoring.
Leverage Python, Pandas, and ML frameworks including scikit-learn, PyTorch, TensorFlow, and Keras for model building and analysis.
Utilize advanced statistical techniques including Bayesian cross-correlation, S-curve modeling, and stochastic processes for accurate forecasting.
Mentor and support junior members of the Data Science team, promoting best practices and a collaborative culture.
Translate complex technical concepts and findings into clear, understandable insights for non-technical stakeholders.
Maintain up-to-date knowledge of the latest developments in machine learning, deep learning, GenAI, LLMs, NLP, and computer vision, and integrate new methodologies where appropriate.
Collaborate with cross-functional teams to ensure the successful delivery and integration of forecasting solutions.

Qualifications:

B.Tech/M.Tech/MCA Related field.
4 10 years of experience in machine learning, deep learning, and data science.
Proficiency with Python and Pandas; strong experience with ML libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, and Keras.
Strong understanding of advanced statistical and machine learning techniques.
Demonstrated experience in developing and deploying NLP or computer vision solutions, and working with GenAI and LLM technologies.
Excellent problem-solving and communication skills; ability to mentor junior team members and explain complex ideas to a lay audience.
Continuous learner with a passion for staying at the forefront of ML and AI innovation.

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Senior Data Scientist