Senior Manager - Data Science & Analytics

<p><p><b>Key Responsibilities :</b></p><p><br/>- Lead and manage a team of data scientists and analysts, providing guidance on analytics, modeling, and best practices.<br/><br/>- Design, develop, and deploy machine learning models using Python, Pandas, Numpy, and Scikit-Learn.<br/><br/>- Perform geospatial and advanced analytics to support business decision-making.<br/><br/>- Build scalable data pipelines and workflows using Databricks and Azure.<br/><br/>- Develop dashboards and reports in Power BI to communicate insights to stakeholders.<br/><br/>- Collaborate with cross-functional teams to define analytics requirements and KPIs.<br/><br/>- Ensure adherence to data governance, quality, and security standards.<br/><br/>- Mentor team members, drive technical innovation, and foster a data-driven culture.<br/><br/>- Stay updated on emerging trends and technologies in data science and Skills Required :</b></p><p><br/></p><p>- Proficiency in Python and libraries such as Pandas, Numpy, Scikit-Learn.<br/><br/>- Hands-on experience with Databricks and Azure cloud services.<br/><br/>- Expertise in Power BI for visualization and reporting.<br/><br/>- Experience in geospatial analysis and related tools/libraries.<br/><br/>- Strong understanding of machine learning algorithms, predictive modeling, and statistical analysis.<br/><br/>- Knowledge of data pipelines, ETL processes, and cloud-based analytics solutions.<br/><br/>- Familiarity with big data frameworks, Spark, or similar platforms is a :</b></p><p><br/></p><p>- Minimum 5+ years of experience in data science, analytics, or related fields.<br/><br/>- Proven experience in leading data science teams or projects.<br/><br/>- Demonstrated ability to deliver predictive analytics and actionable business insights.<br/><br/>- Experience with cloud-based data platforms and enterprise-scale analytics :</b></p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Data Science,or related field.<br/><br/>- Advanced certifications in Data Science, Machine Learning, or Cloud Analytics are a plus</p><br/></p> (ref:hirist.tech)