WFP Lead Data Scientist - Vice President

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Wilmington, DEColumbus, OHPlano, TX
Employment
Part-time
Posted
2 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $190k
$133k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,250–$218,250.

Based on 240 similar postings.

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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 · WFP Lead Data Scientist - Vice President

As a WFP Lead Data Scientist - Vice President within the Workforce Planning organization of the Consumer and Community Operations division, you will join the AI/ML team to deliver quantitatively driven solutions for demand forecasting, capacity planning, resource scheduling, and business analysis. You will lead complex, data-intensive projects, framing business problems into technical solutions and mentoring junior team members. Your daily responsibilities include designing and developing Machine Learning, Artificial Intelligence, and Statistical models through the full development lifecycle, including documentation and independent model review. You must utilize Python, R, or Scala alongside big-data technologies like Hadoop, Spark, and SparkML, plus SQL and Hive. You will apply expertise in Time Series, Operations Research, and Neural Nets to support call centers, back offices, and retail branches.

What you'll do

  • Design and develop Machine Learning, Artificial Intelligence, and Statistical models.
  • Manage the full model development lifecycle from problem framing to independent model review.
  • Lead AI/ML projects while mentoring and coaching junior team members.
  • Translate business requirements into clearly defined technical objectives and feasible solutions.
  • Select appropriate methodologies by staying current on the latest AI/ML research.
  • Ensure the robustness of all data science solutions.
  • Communicate data-driven recommendations and solutions in an easy-to-understand way.

What we're looking for

  • Master’s Degree with 5+ years or Doctorate with 3+ years of experience as a data science professional in a quantitative field.
  • 2+ years of experience leading AI/ML projects with multiple team members.
  • Hands-on experience developing statistical, machine learning, and/or artificial intelligence models.
  • Deep understanding of the math and theory behind AI/ML algorithms.
  • Proficiency in data science programming languages such as Python, R, or Scala.
  • Experience with big-data technologies like Hadoop and Spark, and familiarity with SQL or Hive.
  • Advanced expertise with Time Series and Operations Research techniques (preferred).
  • Experience with NLP, Neural Nets, public cloud technologies (AWS, Azure, GCP), or leading complex cross-functional projects (preferred).

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