Data Scientist Engineer

Job Description

As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation.Key Responsibilities:- Design and implement machine learning models to address business challenges effectively.- Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features.- Train and fine-tune ML models using deep learning, regression, classification, and ensemble techniques.- Evaluate model performance and improve accuracy, efficiency, and scalability.- Deploy ML models into production environments; monitor and retrain models as needed.- Collaborate with engineers, data scientists, and stakeholders to integrate ML solutions.- Stay current with the latest trends in AI/ML and contribute to knowledge sharing.- Maintain thorough documentation of models, workflows, and processes.Qualifications:- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field- 6-10 years of industry experience in data science, machine learning, or related domainsMust-Have Skills:- Experience in Time Series Forecasting, Regression, and Classification models- Proficient in Python, R, and Data Analysis- Strong experience with Pandas, NumPy, Matplotlib for large data handling- Version control tools like Git- ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras- Exposure to Cloud Platforms: AWS / Azure / GCP- Experience with Docker and Kubernetes- Hands-on in Data Collection, Feature Engineering, Model Selection, Evaluation, and DeploymentGood to Have:- Exposure to Big Data tools such as Hadoop, Spark- BFSI / Banking domain experience- Familiarity with additional AI/ML libraries and tools beyond the mentioned frameworksIn addition to the technical skills required for the role, you should be open to working on a contractual or temporary basis with a contract length of 6 months. You may be based in Noida with the requirement of working from the office twice a week and flexibility for travel as needed. As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation.Key Responsibilities:- Design and implement machine learning models to address business challenges effectively.- Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features.- Train and fine-tune ML models using deep learning, regression, classification, and ensemble techniques.- Evaluate model performance and improve accuracy, efficiency, and scalability.- Deploy ML models into production environments; monitor and retrain models as needed.- Collaborate with engineers, data scientists, and stakeholders to integrate ML solutions.- Stay current with the latest trends in AI/ML and contribute to knowledge sharing.- Maintain thorough documentation of models, workflows, and processes.Qualifications:- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field- 6-10 years of industry experience in data science, machine learning, or related domainsMust-Have Skills:- Experience in Time Series Forecasting, Regression, and Classification models- Proficient in Python, R, and Data Analysis- Strong experience with Pandas, NumPy, Matplotlib for large data handling- Version control tools like Git- ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras- Exposure to Cloud Platforms: AWS / Azure / GCP- Experience with Docker and Kubernetes- Hands-on in Data Collection, Feature Engineering, Model Selection, Evaluation, and DeploymentGood to Have:- Exposure to Big Data tools such as Hadoop, Spark- BFSI / Banking domain experience- Familiarity with additional AI/ML libraries and tools beyond the mentioned frameworksIn addition to the technical skills required for the role, you should be open to working on a contractual or temporary basis with a contract length of 6 months. You may be based in Noida with the requirement of working from the office twice a week and flexibility for travel as needed.

Keyskills :
RegressionPythonData AnalysisNumPyMatplotlibGitAWSAzureGCPDockerKubernetesData CollectionModel SelectionTime Series ForecastingClassification modelsPandasTensorFlowPyTorchScikitlearnKerasFeature EngineeringModel Evaluation