Data Scientist Associate - Workforce Planning

Plano, TX, United States

Full-time

Onsite

Entry Level

JPMorganChase is one of the world's oldest and largest financial institutions, and they are seeking a Data Scientist Associate in Workforce Planning. In this role, you will tackle complex data-intensive projects, collaborating with management to deliver quantitatively driven solutions that support core workforce functions.

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Responsibilities

Design and development of Machine Learning, Artificial Intelligence and Statistical models.
Support AI/ML simpler projects individually or more complex as part of a project team.
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 easy-to-understand-way leveraging data to tell a story.
Able to work effectively and gain credibility and respect of others including peers, clients and other stakeholders.

Qualification

Required

Master’s Degree with 1+ years or Doctorate (PhD) with 0+ 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.
Experience supporting AI/ML projects with multiple team members.
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

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.

Benefit

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

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