Data Scientist [Multiple Positions Available]

JPMorganChase

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profile Job Location:

Palo Alto, CA - USA

profile Monthly Salary: $ 148699 - 170000
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

Description

DESCRIPTION:

Duties: Build data solutions and extract insights from big data environments to design metrics and conduct in-depth analyses that drive business decisions. Partner with leaders across the business of Sales Marketing Finance and Account Management to deliver high-impact analytics. Establish strong partnerships with our stakeholders across Chase Payment Solutions. Collaborate with analytics and non-analytics groups to design solutions and provide actionable insights. Drive the execution of analytics and data science initiatives. Analyze data from a variety of data sources and identify key insights. Demonstrate strong analytical ability through understanding and implementation of various analytical and statistical techniques to answer high-priority business questions. Interpret analytical results and present findings to stakeholders. Build data visualization and provide ongoing enhancements to business dashboards. Experiment develop and produce high-quality machine learning models that drive business growth.

QUALIFICATIONS:

Minimum education and experience required: Bachelors degree in Data Science Business Analytics or related field of study plus 1 year of experience in the job offered or as Data Scientist Business Analyst or related occupation.

Skills Required: This position requires any amount of experience with the following: Creating and maintaining dynamic and interactive dashboards using Tableau and Looker leveraging ETL automation ODBC connector; creating advanced visualizations including heat maps drill-down charts and tools including parameters and LOD (Level of Detail) expressions; Conducting in-depth exploratory data analysis within large enterprise databases (Terabytes- scale) using SQL via CTE and window functions; transforming raw data into actionable insights using Python libraries including Pandas and NumPy for data manipulation scikit-learn for machine learning matplotlib and seaborn for data visualization; Presenting data findings model results and performance metrics to cross- functional teams and translating complex analyses into strategic recommendations for business growth; Designing and building robust scalable data processing and model training pipelines by leveraging Random Forest and K-Nearest Neighbors (KNN) machine learning algorithms; Developing optimizing and producing predictive modeling pipelines by Tree-based Pipeline Optimization Tool (TPOT) python libraries that automate hyperparameter tuning and model selection to enhance prediction performance and model efficiency; Automating and streamlining ETL workflows in order to produce recurring reports and data updates leveraging Excel and Alteryx workflows; Leverage advanced Excel functionalities including vlookup index match and pivot tables; PySpark and Snowpark data science libraries in Python; and data engineering pipelines for big data.

Job Location: 3223 Hanover St Palo Alto CA 94304.

Full-Time. Salary: $148699 - $170000 per year.




Required Experience:

IC

DescriptionDESCRIPTION:Duties: Build data solutions and extract insights from big data environments to design metrics and conduct in-depth analyses that drive business decisions. Partner with leaders across the business of Sales Marketing Finance and Account Management to deliver high-impact analyti...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

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JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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