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You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are 44,000, #FISVProud innovators, delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv. Apply today to join a company named a FORTUNE World's Most Admired Companies® for the eighth consecutive year.

Success Profile

Every candidate has their strengths, and at Fiserv, we want to match you to a career that allows you to put your best foot forward. Do you have the competencies outlined below? If so, you might be an excellent candidate to Find Your Forward at Fiserv.

  • Collaborative
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  • Courageous
    7
  • Innovative
    10
  • Strategic
    8
  • Trustworthy
    9
  • Enthusiastic
    7
10
  • Motivational
  • Socially Conscious
  • Results Driven
  • Productive
  • Communicator
  • Focused
  • Achiever
  • Problem-solver

Benefits

  • Medical, Vision and Dental Benefits

    Comprehensive benefit plans to suit your unique needs

  • Fuel Your Life Wellness Program

    Resources to elevate your well-being

  • 401(k) and Employee Stock Purchase Plans

    When Fiserv performs well, so does your financial health

  • Employee Resource Groups

    Celebrating inclusion in the workplace

  • Providing the time off to manage personal needs

Create Together

Your Career and the Culture at Fiserv

We are #FISVProud!!

Associate Experience: Hear from Veterans of the Armed Services

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Responsibilities

Requisition ID R-10255131 Date posted 03/21/2022 City San Jose State/Region California Country United States

Responsibilities
(1) Work with managers and cross-functional product teams to create the prioritized list of data use cases and data challenges
(2) Conduct independent data analysis to gain full understanding of the data and identify the data issues to resolve
(3) Recommend statistical or machine learning methods to solve the data issues
(4) Process data from multiple data sources to create clean and normalized feature datasets
(5) Execute model training, hyperparameter tuning, feature selection, and performance evaluation;
(6) Develop innovative machine learning algorithms to solve complex classification problems
(7) Develop advanced deep learning algorithms for merchant data cleansing, data enrichment, image classification and text detection, and spend insight.

Qualifications
(1) A Master’s or a Bachelor’s degree in Math, Statistics, Data Science, Computer Science, or other related fields. Master’s degree preferred
(1) Data processing of large datasets in Datawarehouse environment
(2) Data science in Python
(3) Developing machine learning models, including classification, clustering, unsupervised and supervised models
(4) Developing deep neural network model for natural language processing (NLP), including Name Entity Recognition (NER), RNN, LSTM, BERT and word embedding
(5) Feature engineering, hyperparameter tuning, and model training
(6) Data privacy and data governance rules and regulations

This role is not eligible to be performed in Colorado
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