Lead Data Scientist - Finance Analytics

As a Lead Data Scientist in the Finance Analytics team at our company, you will be responsible for analyzing financial data to derive insights, recognize patterns, and suggest automation opportunities within the finance and accounting domains. Your role will involve leveraging your expertise in data engineering and advanced analytics to convert raw financial data into valuable insights, while collaborating closely with finance teams to address business requirements effectively. Key Responsibilities: - Apply advanced analytics techniques to extract insights from financial data sets - Build and optimize data pipelines using Python, Spark, and SQL to prepare data for analysis - Develop and implement machine learning models to identify patterns, anomalies, and automation opportunities - Create interactive dashboards and visualizations using BI tools for effective communication of insights - Collaborate with finance teams to understand and address their data needs through analytical solutions - Identify and track relevant metrics to provide meaningful business intelligence - Support data-driven decision-making by presenting clear and actionable findings - Conduct exploratory data analysis to reveal trends and relationships in financial data - Mentor junior data scientists on analytical techniques and best practices - Implement statistical analysis methods to validate findings and ensure data quality Qualifications Required: - 5-7 years of experience in data science or analytics, with exposure to financial or business data - Strong technical background in data engineering and pipeline development - Advanced proficiency in Python and experience with Spark for large-scale data processing - Experience working with data from Snowflake Data Lake or similar cloud-based data platforms - Demonstrated skill in building dashboards and visualizations using BI tools (Power BI, Tableau, Looker, etc.) - Proficiency in SQL for data extraction and manipulation - Experience applying machine learning algorithms to solve business problems - Ability to communicate technical concepts to non-technical stakeholders - Understanding of basic financial concepts and metrics (no deep finance expertise required) - Strong problem-solving skills and attention to detail - Bachelor's degree in computer science, Data Science, Statistics, or related technical field The company offers various benefits and perks, including Medical Insurance, Group Accidental Coverage/Insurance, Group Term Life Insurance, Company Paid Subscription to Calm, Employee Referral Program, Wellness Program, and more. Additionally, the role encourages continuous learning, creativity in presenting data insights, and staying updated with emerging technologies in data science.,