Workforce Planning, Data Scientist, Senior Associate

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Wilmington, DEPlano, TXColumbus, OH
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $166k
$102k $216k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $134,412–$197,250.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1254 open roles on FindRole.

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At a glance

TL;DR · Workforce Planning, Data Scientist, Senior Associate

As a Workforce Planning - Data Scientist - Senior Associate within the Consumer and Community Banking division, you will join the Workforce Planning Data Science team to solve complex, data-intensive business problems. You will independently frame ambiguous questions, translate them into mathematical formulations, and design, develop, and productionize rigorous AI/ML solutions. Your daily work involves building models to forecast demand, optimize capacity, and sharpen scheduling for call centers, back office operations, and branches. You will utilize Python, R, or Scala alongside big-data technologies like Hadoop, Spark, and SparkML, while performing SQL and Hive operations. The role requires applying statistical models, time series, and operations research techniques to enable real-time inference and decision-making. You must communicate data-driven recommendations clearly to stakeholders to improve operational efficiency.

What you'll do

  • Design and develop Machine Learning, Artificial Intelligence, and Statistical models to solve complex business problems.
  • Translate ambiguous business questions into formal mathematical formulations and modeling approaches.
  • Select modeling techniques based on a principled understanding of problem structures and underlying assumptions.
  • Develop and productionize rigorous AI/ML solutions for real-time inference and decision-making.
  • Ensure the robustness and theoretical fit of all data science solutions.
  • Communicate data-driven recommendations and solutions in an easy-to-understand way for stakeholders.
  • Support AI/ML projects both independently and as part of a larger project team.

What we're looking for

  • Master’s Degree with 3+ years or Doctorate with 1+ years of experience as a data science professional in a quantitative field.
  • Experience supporting AI/ML projects with multiple team members.
  • Hands-on experience developing statistical, machine learning, and/or artificial intelligence models.
  • Foundational understanding of the math and theory behind AI/ML algorithms to reason about model assumptions and limitations.
  • Proficiency in data science programming languages like Python, R, or Scala.
  • Experience with big-data technologies such as Hadoop and Spark, and familiarity with SQL or Hive.
  • Advanced expertise with Time Series and Operations Research techniques (preferred).
  • Experience with NLP, NLG, Neural Nets, public cloud technologies, or leading complex cross-functional projects (preferred).

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