Senior Data Science Manager (Workforce Planning)

    • JPMorgan Chase & Co.
  • Plano, TX
  • Posted 27 days ago | Updated 5 hours ago

Overview

On Site
Full Time

Skills

Machine Learning (ML)
Natural language processing
Amazon Web Services
google cloud platform
Data Science
Workforce planning
Demand forecasting
Capacity management
Business analysis
Real-time
Decision-making
Artificial intelligence
Problem solving
Statistical models
Operations research
People management
Programming languages
Big data
Relationship building
Time series
Natural language
Cloud computing
Financial services
Health care
WFP
Customer Care and Billing
Operations
Scheduling
Management
Data
IMPACT
Strategy
Roadmaps
Mentorship
Design
Leadership
Statistics
Analytics
Economics
Mathematics
Algorithms
Python
R
Scala
Apache Hadoop
Apache Spark
SQL
Apache Hive
Microsoft Azure
Finance
Backup
Coaching
Recruiting
SAP BASIS
Law

Job Details

Join the dynamic Workforce Planning organization, highlighting the chance to deliver quantitatively driven solutions and contribute to a team that supports various functions. The Workforce Planning (WFP) organization it is a part of Consumer and Community (CCB) Operations division. The Workforce Planning (WFP) Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support).

As a Senior Data Science Manager in Workforce Planning, you will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery. TheAI/ML team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making. Projects engaged by the Artificial Intelligence(AI)/Machine Learning(ML) team can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business. Typically these problems will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy.

Job responsibilities:
  • Define the data science vision, strategy and roadmap for the organization.
  • Manage a team of highly-capable and independent sole contributors, along with mentor, coach and grow people earlier in their careers In this role.
  • Attract, develop and retain data science talent to ensure the team continues to enhance its value to the company.
  • Oversees the design and development of Machine Learning, Artificial Intelligence and Statistical models.
  • Ensure the robustness of any data science solution.
  • Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
  • Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.

Required qualifications, capabilities, and skills:
  • Master's Degree with 5 plus years or Doctorate (PhD) with 3 plus years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
  • 4 plus years of direct people management experience.
  • Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
  • Deep understanding of math and theory behind AI/ML algorithms.
  • Proficient in data science programming languages like Python, R or Scala.
  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.

Preferred qualifications, capabilities, and skills:
  • Advanced expertise with Time Series and Operations Research techniques.
  • Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
  • Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(Google Cloud Platform).
  • Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

This is a Hybrid position which will require the incumbent to commute/work on site 3 days a week and work from home 2 days a week.

About Us
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