Lead Data Scientist - Workforce Planning - Vice President
Lead Data Scientist - Workforce Planning - Vice President
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Job Description
If you are passionate about Predictive Science join us to leverage Artificial Intelligence (AI)/Machine Learning (ML) and analytics for anticipating trends and driving informed decisions.
As a Lead Data Scientist in Workforce Planning (WFP) you will spearhead the development and implementation of advanced AI/ML solutions to address complex dataintensive challenges within the organization. You will be responsible for quickly assessing unstructured problems devising innovative problemsolving strategies and delivering impactful data science solutions that enhance realtime inference and decisionmaking capabilities.
Your role will involve analyzing key topics developing solution proposals and collaborating with management to prioritize time and deliver projects that align with business objectives. You will lead efforts in data management model development and continuous improvement ensuring that solutions are efficient ethical and aligned with the companys strategic goals. Your expertise will be pivotal in driving the next generation of datadriven decisionmaking processes within the workforce planning domain.
The WFP organization is a part of Consumer and Community (CCB) Operations division. The 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). The WFP organization supports Chases call centers back office and 5200 retail branches.
Job Responsibilities
- Design and development of Machine Learning Artificial Intelligence and Statistical models.
- Lead Artificial Intelligence (AI)/Machine Learning (ML) projects along with mentor and coach junior team members.
- Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
- Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research
- Ensure the robustness of any data science solution.
- Develop and communicate recommendations and data science solutions in easytounderstandway 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
- Masters Degree with 5 years or Doctorate (PhD) with 3 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.
- 2 years of experience leading AI/ML projects with multiple team members
- Handson 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 bigdata 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(GCP).
- Previous experience leading highly complex crossfunctional technical projects with multiple stakeholders.
Required Experience:
Chief
Employment Type
Full-Time
