Data Scientist Lead - Vice President
Plano, TX, United States
JPMorgan Chase & Co.
This role is a combination of internal partner and analytical leadership, and will serve as a lead to other analysts on our team.
Are you a Thought Leader looking for an exciting opportunity that merges your sales, strategy, and analytical skills? Check out this opportunity on our Private Client Data & Analytics team!
Job summary:
Our Private Client Data &Analytics team provides analytics, business intelligence, and modeling support to drive acquisition, sales, and retention strategies. As a Sales Data Scientist Lead, you will be responsible for supporting and managing partner relationships with the 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
- Coach and mentor 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
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Business Intelligence Clustering Computer Science Data analysis Econometrics Engineering Finance Hadoop Machine Learning Mathematics PhD Physics Predictive modeling Python R Research SAS Snowflake Spark SQL Statistics Tableau
Perks/benefits: Career development Competitive pay Health care Relocation support Wellness
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