JPMorgan Data Scientist Lead Sales Science 

United States, New York, New York 

974147792

Job Description:
As a Data Scientist Lead, within the Sales Science team, you will be responsible for supporting partner relationships within the Sales teams through analytical data exploration and reporting on outcomes, ad-hoc deep dives, test design building and reading, and sales strategy performance analysis.

Job Responsibilities:

• Collaborate with stakeholders to solve quantitative problems and optimize business processes using analytic methods such as predictive modeling, clustering, text mining, machine learning, optimization, and simulations.
• Lead the analytical optimization of xLOB sales funnels and act as a subject matter expert to identify opportunities
• Work with business partners and Technology to set quantifiable goals, advise on strategies, and experiment to achieve business objectives.
• Design, support, and share learnings from a multi-layer experiment framework allowing for optimization inside LOBs and across various field roles
• Communicate complex analytical results effectively and develop insights from data analysis to make recommendations to management.
• Prepare, write, and transform data from diverse sources to support analytical efforts using languages such as Python and SQL
• Stay updated on industry trends and test new advanced analytics techniques to address business challenges.

Required qualifications, capabilities, and skills:

• Masters in a related field, or bachelor’s with 5+ years' experience in a related discipline; 6+ years of related Analytics experience
• Hands-on experience in delivering analytics and insights to multiple levels of management (Including Test Design, Conversion/Response Reporting, Response Analysis, Incremental Analysis, Response Profiling and Target/Segmentation Analysis)
• Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R)
• Experience working with various databases (Teradata), Snowflake, AWS and advanced level database querying languages (SQL, HQL, SparkSQL) with modern cloud-based data architectures.
• Proven track record developing and launching GenAI solutions in Financial Services or a related industry
• Tangible experience with business strategy and tactical implementation, with the ability to define business KPIs and establish measurement frameworks
• Strong written and oral presentation / communication skills – the ability to convey complex information simply and clearly to senior business leaders and business partners and influence internal and external partners