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Data Scientist with Machine Learning

Job Description - Data Scientist with Machine Learning

Job Description – Data Scientist with Machine Learning
Position: Data Scientist with Machine Learning
Experience: 5+ Years
Joining Preference: Immediate Joiners Preferred



Job Summary:


We are seeking an experienced Data Scientist with strong Machine Learning expertise to design, build, deploy, and optimize predictive models that solve business problems. The ideal candidate should have hands-on experience in statistical modeling, forecasting, MLOps, cloud platforms, and Python-based ML frameworks.


Key Responsibilities
•    Design, develop, test, and deploy Machine Learning models for business use cases.
•    Build forecasting models using ARIMA, SARIMA, and Prophet.
•    Develop predictive analytics and statistical models to improve decision-making.
•    Perform data preprocessing, feature engineering, model training, validation, and optimization.
•    Write efficient Python code using Pandas, NumPy, and Scikit-learn.
•    Work with PostgreSQL to extract, transform, and analyze data.
•    Implement MLOps practices for model deployment, monitoring, and versioning.
•    Build and optimize models using Random Forest, XGBoost, LightGBM, and CatBoost.
•    Deploy and manage ML solutions on AWS, Azure, or GCP.
•    Collaborate with cross-functional teams to translate business requirements into AI/ML solutions.


Required Skills
•    Machine Learning model development and deployment
•    Forecasting: ARIMA, SARIMA, Prophet
•    Predictive Analytics & Statistical Modeling
•    Python (Pandas, NumPy, Scikit-learn)
•    PostgreSQL
•    MLOps
•    Random Forest, XGBoost, LightGBM, CatBoost
•    Cloud Platforms: AWS, Azure, or Google Cloud Platform (GCP)


Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.


Soft Skills
•    Strong analytical and problem-solving skills
•    Excellent communication and collaboration
•    Ability to work independently in a remote environment
•    Good stakeholder management and presentation skills

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