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Team Geek Solutions
IT Services & IT Consulting
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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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