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Job Description Data Scientist Position Data Scientist Location - Pune Employment Type Full-Time Experience 0 1 Year (Freshers with strong project experience can also apply) About the Role We are looking for a passionate and analytical Data Scientist to join our team. The ideal candidate will be responsible for developing predictive models, analyzing large datasets, and delivering actionable insights that drive business decisions. The candidate should possess strong programming skills, a solid understanding of machine learning algorithms, and the ability to translate business problems into data-driven solutions. Key Responsibilities Develop and deploy predictive analytics and machine learning models for business use cases.Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).Build, optimize, and maintain machine learning models for:ForecastingClassificationRegressionAnomaly DetectionAnalyze structured and unstructured datasets to identify trends, patterns, and business opportunities.Evaluate model performance using appropriate metrics and continuously improve model accuracy.Design and implement automated machine learning pipelines and model monitoring frameworks.Collaborate with business stakeholders, data analysts, product teams, and engineers to understand requirements and deliver impactful solutions.Present findings, insights, and recommendations to technical and non-technical stakeholders.Document model assumptions, methodologies, experiments, and results.Stay updated with the latest developments in Data Science, Machine Learning, and Artificial Intelligence.Required SkillsTechnical Skills Strong proficiency in Python.Hands-on experience with:PandasNumPyScikit-learnStrong understanding of:Supervised Learning AlgorithmsUnsupervised Learning AlgorithmsExperience with SQL for data extraction, manipulation, and analysis.Knowledge of model evaluation metrics including:RMSEMAEPrecisionRecallF1-ScoreROC-AUCExperience with advanced machine learning frameworks such as:XGBoostLightGBMCatBoostFamiliarity with Git and version control systems.Preferred Skills Experience with data visualization tools such as Power BI, Tableau, or Matplotlib.Knowledge of cloud platforms such as AWS, Azure, or GCP.Understanding of MLOps concepts and deployment practices.Experience working with large-scale datasets and data pipelines.Educational Qualification Bachelor's or Master's degree in:Computer ScienceData ScienceStatisticsMathematicsArtificial IntelligenceEngineering or a related fieldDesired Attributes Strong analytical and problem-solving skills.Excellent communication and presentation abilities.Ability to work independently and collaboratively in a fast-paced environment.Curiosity to explore data and discover meaningful insights.Strong attention to detail and commitment to quality.Compensation: 12,000.00 - 15,000.00 per month Work Location: In person Job Description Data Scientist Position Data Scientist Location - Pune Employment Type Full-Time Experience 0 1 Year (Freshers with strong project experience can also apply) About the Role We are looking for a passionate and analytical Data Scientist to join our team. The ideal candidate will be responsible for developing predictive models, analyzing large datasets, and delivering actionable insights that drive business decisions. The candidate should possess strong programming skills, a solid understanding of machine learning algorithms, and the ability to translate business problems into data-driven solutions. Key Responsibilities Develop and deploy predictive analytics and machine learning models for business use cases.Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).Build, optimize, and maintain machine learning models for:ForecastingClassificationRegressionAnomaly DetectionAnalyze structured and unstructured datasets to identify trends, patterns, and business opportunities.Evaluate model performance using appropriate metrics and continuously improve model accuracy.Design and implement automated machine learning pipelines and model monitoring frameworks.Collaborate with business stakeholders, data analysts, product teams, and engineers to understand requirements and deliver impactful solutions.Present findings, insights, and recommendations to technical and non-technical stakeholders.Document model assumptions, methodologies, experiments, and results.Stay updated with the latest developments in Data Science, Machine Learning, and Artificial Intelligence.Required SkillsTechnical Skills Strong proficiency in Python.Hands-on experience with:PandasNumPyScikit-learnStrong understanding of:Supervised Learning AlgorithmsUnsupervised Learning AlgorithmsExperience with SQL for data extraction, manipulation, and analysis.Knowledge of model evaluation metrics including:RMSEMAEPrecisionRecallF1-ScoreROC-AUCExperience with advanced machine learning frameworks such as:XGB