Senior Data Science Manager (Workforce Planning)
JPMorgan Chase
- Plano, TX
- Permanent
- Full-time
- 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.
- 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.
- 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 cross-functional technical projects with multiple stakeholders.