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About the role
As a Data Science Consultant at our company, you will be responsible for leading the design, development, and deployment of advanced data science solutions across various business domains. Your role will involve a strong focus on operational efficiency, forecasting, and AI integration, requiring a blend of technical expertise, strategic thinking, and collaboration with stakeholders to deliver measurable business impact through data-driven innovation. Key Responsibilities: - Build and deploy scalable machine learning and deep learning models, including CNNs and GenAI solutions, for anomaly detection, forecasting, and optimization. - Design and implement efficient data pipelines using Python, PySpark, and distributed computing frameworks to support large-scale analytics. - Collaborate closely with business stakeholders, software engineers, and DevOps teams to translate business needs into actionable data science solutions. - Ensure models adhere to responsible AI principles, including fairness, transparency, and auditability, and comply with data governance standards. - Monitor model performance, conduct evaluations, and iterate to improve accuracy and reliability. Stay updated on emerging AI/ML technologies and integrate them into solutions. Qualifications Required: - Strong proficiency in Python and PySpark for data manipulation and modeling. - Experience with deep learning frameworks such as TensorFlow and PyTorch. - Hands-on experience with CNNs and other advanced ML techniques for forecasting and anomaly detection. - Expertise in building and deploying models in production environments. - Familiarity with distributed computing tools like Spark, Databricks. - Knowledge of AI governance and responsible AI frameworks. - Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes). Additional Details about the Company: - Location: Pune, Maharashtra, India - Years Of Experience: 11 to 15 years Join our team if you have a passion for innovation, strong analytical and strategic thinking, excellent communication skills, leadership capabilities, and the ability to adapt to dynamic and multicultural environments. Your educational background should include a Bachelors or masters degree in computer science, Engineering, Mathematics, Statistics, or a related field. You should have a minimum of 7+ years of experience in data science, machine learning, or AI development, with proven expertise in deploying solutions at scale. As a Data Science Consultant at our company, you will be responsible for leading the design, development, and deployment of advanced data science solutions across various business domains. Your role will involve a strong focus on operational efficiency, forecasting, and AI integration, requiring a blend of technical expertise, strategic thinking, and collaboration with stakeholders to deliver measurable business impact through data-driven innovation. Key Responsibilities: - Build and deploy scalable machine learning and deep learning models, including CNNs and GenAI solutions, for anomaly detection, forecasting, and optimization. - Design and implement efficient data pipelines using Python, PySpark, and distributed computing frameworks to support large-scale analytics. - Collaborate closely with business stakeholders, software engineers, and DevOps teams to translate business needs into actionable data science solutions. - Ensure models adhere to responsible AI principles, including fairness, transparency, and auditability, and comply with data governance standards. - Monitor model performance, conduct evaluations, and iterate to improve accuracy and reliability. Stay updated on emerging AI/ML technologies and integrate them into solutions. Qualifications Required: - Strong proficiency in Python and PySpark for data manipulation and modeling. - Experience with deep learning frameworks such as TensorFlow and PyTorch. - Hands-on experience with CNNs and other advanced ML techniques for forecasting and anomaly detection. - Expertise in building and deploying models in production environments. - Familiarity with distributed computing tools like Spark, Databricks. - Knowledge of AI governance and responsible AI frameworks. - Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes). Additional Details about the Company: - Location: Pune, Maharashtra, India - Years Of Experience: 11 to 15 years Join our team if you have a passion for innovation, strong analytical and strategic thinking, excellent communication skills, leadership capabilities, and the ability to adapt to dynamic and multicultural environments. Your educational background should include a Bachelors or masters degree in computer science, Engineering, Mathematics, Statistics, or a related field. You should have a minimum of 7+ years of experience in data science, machine learning, or AI development, with proven expertise in deploying solutions at scale.
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