Vacancy description
Happiest Minds Technologies Limited
India, Bengaluru
Happiest Minds Technologies - Senior Data Scientist/Manager - ETL/Python in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Summary :We are looking for an experienced Senior Data Scientist Manager to lead data science initiatives, manage a team of data scientists, and drive the development and deployment of advanced analytical and machine learning https://jobeax.com/link/5WM6jVJPxXxkaX5M role will work closely with business and technology stakeholders to translate complex business problems into scalable, data-driven https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :1. Data Science Strategy & Leadership :- Define and execute the data science roadmap aligned with business objectives.- Lead multiple data science projects from problem definition through deployment and business adoption.- Identify high-impact opportunities where advanced analytics and machine learning can create measurable business value.- Establish best practices for experimentation, modelling, validation, and deployment.- Drive adoption of data-driven decision-making across business functions.2. Team Management & Capability Building:- Lead, mentor, and develop a team of data scientists and machine learning professionals.- Define technical goals, project priorities, and delivery expectations.- Conduct regular performance reviews and provide technical mentorship.- Build a strong culture of experimentation, innovation, collaboration, and engineering excellence.- Support hiring and development of data science talent.3. Machine Learning & Advanced Analytics:- Guide teams in developing predictive models, classification models, recommendation systems, forecasting solutions, and other advanced analytical models.- Review model approaches, feature engineering, statistical techniques, and validation methodologies.- Ensure models are robust, scalable, explainable, and aligned with business requirements.- Drive model performance optimization and continuous improvement.- Establish appropriate model monitoring and performance measurement frameworks.4. Business & Stakeholder Management:- Partner with product, engineering, business, and leadership teams to identify and prioritize data science use cases.- Translate complex analytical findings into actionable business recommendations.- Present insights, model outcomes, and business impact to senior stakeholders.- Manage expectations, timelines, dependencies, and delivery priorities across multiple initiatives.5. Data Science Engineering & Deployment:- Collaborate with engineering teams to productionize machine learning models and analytical solutions.- Promote scalable ML pipelines, reproducible experimentation, and automated model deployment.- Ensure appropriate monitoring, governance, documentation, and lifecycle management of models.- Drive adoption of MLOps practices across the data science https://jobeax.com/link/nxRzjLtUxo5zQKq9 Skills & Qualifications:- 9 - 15 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.- Strong experience leading data science teams and large-scale analytical initiatives.- Excellent understanding of statistics, machine learning, predictive modelling, and experimentation.- Strong hands-on experience with Python, SQL, Pandas, NumPy, Scikit-learn and relevant ML frameworks.- Experience with cloud-based data and ML platforms is preferred.- Strong understanding of model deployment, MLOps, and production analytics.- Excellent stakeholder management, communication, and leadership skills. (ref:hirist.tech)
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