Lead Data Scientist

The Intermediate Analyst in Specialized Analytics is a role where you will work independently to solve complex problems, integrating in-depth knowledge of a specialty area with industry standards and practices. You will understand how your team and area contribute to achieving objectives, applying analytical thinking and data analysis tools. Attention to detail is crucial in making recommendations based on factual information, dealing with variable issues that may have broader business impact. Using professional judgment, you will interpret data and results, communicating information in a systematic manner. Communication and diplomacy skills are necessary to exchange potentially complex information, with a moderate but direct impact on core business activities. The quality and timeliness of your service will affect the effectiveness of your team and related teams. Responsibilities: - Work with large and complex data sets to evaluate, recommend, and support business strategies - Identify and compile data sets using various tools to predict, improve, and measure business outcomes - Document data requirements, collection, processing, and analysis, potentially utilizing statistical models and data visualization techniques - Specialization in marketing, risk, digital, and AML fields may be possible - Assess risk in business decisions, focusing on the firm's reputation and compliance with laws and regulations - Communicate results and insights to stakeholders, following up for impact measurement and reporting Qualifications: Experience: - Bachelor's Degree with 5-6 years of experience in data analytics, or Master's Degree with 4-6 years of experience, or a relevant PhD - Substantial experience in resolving business problems, leveraging NLP techniques, analytical tools, and working with diverse data sources - Good to have: experience in Customer experience domain analysis Skills: Analytical Skills: - Strong logical reasoning and problem-solving ability - Proficient in converting business problems into analytical tasks and deriving insights - Ability to work hands-on with big data environments Tools and Platforms: - Expert knowledge in Python, SQL, and related tools - Experience in Hive and proficiency in MS Excel, PowerPoint - Good to have: experience with PySpark and Tableau This job description offers a comprehensive overview of the work performed. Other duties related to the job may be assigned as necessary.,