J.P. Morgan
J.P. Morgan

120 J.P. Morgan Data Science Analyst Jobs Hiring Near You

Researches and applies knowledge from existing and emerging data science principles, theories and practices to identify and solve complex analytic problems using established procedures, tools and ...

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to the ...

Data Science Analyst American College of Radiology (ACR) is a progressive membership organization representing nearly 40,000 medical specialists in radiological care. As a member of our team, you ...

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the ...

Showing results 21-40

J.P. Morgan Jobs Information

What is it like to work at J.P. Morgan?

J.P. Morgan is a global financial institution that values a culture of collaboration, innovation, and integrity, with a strong emphasis on teamwork and professional development. The company operates a diverse range of teams, including investment banking, asset management, and markets and securities, with a global presence and a dynamic work environment that fosters creativity and growth. Working at J.P. Morgan can offer opportunities for career advancement, professional growth, and the chance to contribute to the company's mission of helping clients navigate the complexities of the financial world.

What makes J.P. Morgan an attractive place to work?

J.P. Morgan is a leading global financial services firm with a long history of innovation and a commitment to helping clients navigate the complexities of the financial markets. The company offers a dynamic and collaborative work environment that fosters creativity, teamwork, and professional growth, with opportunities to work on high-profile projects and develop expertise in a wide range of areas. By joining J.P. Morgan, individuals can contribute to the company's mission of making a positive impact on the world and enjoy opportunities for career advancement and personal development in a stable and secure organization.

What other companies are hiring for Data Science Analyst jobs?

Data Science Analyst

3B Staffing LLC

Richmond, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Top Required Skills

  • MUST have prior hands on experience as a Data Scientist on a project using R/Python etc on Hadoop platform
  • Strong skills in statistical application prototyping with expert knowledge in R and/or Python development
  • MUST have previously worked on lead a project that handled and designed machine learning projects to address business problems determined by consultation with business partners.
  • MUST have extensive experience in Predictive Modeling and Machine Learning: Classification, Regression & Clustering
  • MUST have understanding and experience working on Big Data Ecosystems is preferred : Hadoop, HDFS, Hive, Sqoop, Spark: pySpark, SparkR, SparkSQL, Jupyter & Zeppelin notebooks
  • Should be ablet to work on a variety of datasets, including both structured and unstructured data. • What soft skill requirements do you have (team fit and personality requirements)? o Strong communication skills both verbal and written o Ability to lead, collaborate, or work effectively in a variety of teams, including multi-disciplinary teams

Nice to Have Skills:

  • Understanding and/or Experience with data engineering is a plus
  • Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus

High Level Project Overview:
• In this advanced level role, the Senior Data Science Analyst works independently on the most complex programs. Researches and applies knowledge from existing and emerging data science principles, theories and practices to identify and solve complex analytic problems using established procedures, tools and platforms. Conducts requirements gathering and design sessions and defines and documents the scope and objectives for the business use case/solution. Performs detailed analysis and feature engineering on data. Works at a high technical level in all phases of data analysis, design, development and support of analytic solutions including design and development of data structures, data integration processes and user interfaces to illustrate the analytical insights. Guides and/or leads less experienced Data Science Analysts analytic projects, as needed. Delivers oral briefs, presentations and insights from analysis performed or solutions developed. Tests, compares and validates the results from Machine Learning models before implementing the solution. Works company-wide, in multi-platform environments, on multiple project assignments.

Required Years of Experience:
• MUST have 5+ years of experience in Data Science using R/Python etc. on Hadoop platform

Education:

  • Education: Bachelors or higher required
  • Discipline: Computer Science, Information Systems, Mathematics

Are there any specific companies/industries youd like to see in the candidates experience?
• High Preference for candidates that have prevoiusly worked with a large scale commercial utilites team but will review candidates who have a background with large scale capital projects for companies

Preferred Interview Process Overview (High level):
• Teams - Camera On