{"id":2771274,"url":"https://alion.io/job/talentsyker-senior-data-scientist-machine-learning-models","title":"Senior Data Scientist - Machine Learning Models","company":{"id":3800580,"name":"TalentSyker","domain":"talentsyker.co.in","url":"https://alion.io/company/talentsyker","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data 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frameworks across Python, SQL, Spark, and AWS. \n\nThe role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.\n\nResponsibilities :\n\n- Design, build, and deploy scalable machine learning models into production systems.\n\n- Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).\n\n- Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.\n\n- Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.\n\n- Collaborate with engineering teams to integrate models into cloud-based applications on AWS.\n\n- Optimize query performance, storage usage, and data pipelines for efficiency.\n\n- Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.\n\n- Drive initiatives independently with high ownership and accountability.\n\n- Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.\n\nRequirements :\n\n- Minimum 5 years of experience in Data Science or Applied Machine Learning.\n\n- Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).\n\n- Proven expertise in deploying ML models into production systems.\n\n- Experience with big data platforms (Hadoop, Spark) and distributed data processing.\n\n- Hands-on experience with Databricks, Airflow, and AWS EMR.\n\n- Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).\n\n- Solid understanding of query optimization, storage systems, and data pipelines.\n\n- Excellent problem-solving skills, with the ability to design scalable solutions.\n\n- Strong communication and collaboration skills to work in cross-functional teams.\nSkills\nPython, SQL, Tensorflow, Spark, Hadoop, Azure Databricks, AWS, Data Science, Data 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