As a Private Client Sales Data Scientist Lead you will be responsible for supporting and managing partner relationships with the Private Client Sales Strategy team, through analytical data exploration and reporting on outcomes, ad-hoc (diagnostic/tactical/strategic) deep dives, test design building and reading, and overall portfolio performance analysis, with an emphasis on controls execution and monitoring. In this role you will serve as an internal partner collaborator and provide analytical leadership, and will be a leader to other analysts on our team. You will be analytically/technically strong, will be resourceful with strong problem solving skills, will have great communications skills, and will employ a collaborative approach working with colleagues and business partners.
Job responsibilities:

• Provide thought leadership and technical proficiency in data driven decision and opportunities using various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations etc.
• Analyze data to explore improvement opportunities, assessing strengths through confidence of data inputs, identifying data defects, recognizing statistical anomalies, and linking data to business processes
• Own program, processes, partnerships, key communications with limited oversight
• Responsible for coaching and mentoring less experienced team members
• Communicate complex analytical results
• Deliver tactical and strategic marketing, sales, finance, and business insights through analytics, reporting and state of the art visualization techniques
• Partner with stakeholders to solve quantitative problems related to optimizing business processes and performance

 Required qualifications, capabilities, and skills:

• PhD or Masters in a related field (Computer Science, Operational Research, Physics, Mathematics, Neuroscience, Engineering, Econometrics, Statistics, Other Sciences etc.) or equivalent with at least 5 years of advanced analytics experience (8 years if Masters or equivalent)
• Exceptional interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms, and data structures with an ability to influence both internal & external business partners 
• Proficiency in data analysis languages such as SQL, Python, SAS, R, etc.
• Experience with dynamic and interactive reporting applications such as Alteryx and Tableau
• Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc.
• Technical understanding of data extraction, transformation, and load processing 
• Strong communication skills including the ability to convey complex information concisely to senior business leaders

*** Relocation is not offered/supported for this role