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Senior Principal Data Scientist

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Job Location drjobs

USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Overview

Experians Innovation Lab is a R&D unit at Experian formed with the objevtive to work in collaboration with Experians departments to develop new solutions acquire strategic datasets to enhance relationships with clients.

What Youll Do

As a Senior Principal Data Scientist at the Experian Innovation Lab your role will be to help frame Labs R&D roadmap lead the research and development of analytical solutions prototype new products and evaluate data assets. You will bring experience in predictive modeling machine learning and deep learning to this position. You should also have experience in coaching and growing junior Data Scientist and Data Engineers.

Responsibilities

  • Understand market trends and our clients pain points to lead along with other Lab leaders the Labs R&D road map for next 3-5 years to addresses industry needs
  • Follow new technologies in AI and Machine Learning and guide the R&D efforts to apply the latest technology to address our clients challenges.
  • Lead the development of impactful analytical solutions with Return on investment related to Identity management fraud detection risk management and marketing optimization.
  • Solve complex challenges by developing impactful algorithms
  • Craft advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
  • Lead efforts to improve the Labs data management data processing knowledge discovery and modeling process
  • Coach junior team members of the Lab
  • Unearth data value by selecting and applying the right machine learning deep learning and processing techniques.
  • Improve data manipulation and retrieval through the design of efficient data structures and storage solutions.
  • Innovate with tools designed for data processing and information retrieval.
  • Dissect and document vast datasets analyzing them to highlight patterns and insights.
  • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
  • Articulate model processes and outcomes documenting and presenting findings and performance metrics
  • #LI-Remote

Qualifications :

  • Ph.D degree in Machine Learning Data Science AI Computer Science or a related quantitative field.
  • More than 10 years of experience in AI data science and predictive modeling
  • Track record in leading development of impactful analytical solutions with Return on investment for fraud detection risk management or marketing optimization.
  • Experienced in leading sizable teams to develop AI driven analytical solutions
  • Proficiency in multiple programming languages including Python Java C and C
  • Experience developing analytical solutions using deep learning (CNN RNN LSTM attention models) machine learning methodologies (SVM GLM boosting random forest etc.) graph models and reinforcement learning.
  • Experience with open-source tools for deep learning and machine learning technology such as pytorch Keras tensorflow scikit-learn pandas
  • Experience with large data analysis using Spark (pySpark preferred)
  • Experience with LLMs and the relevant tools in the Generative AI domain.
  • Experience developing advanced language models
  • Experience in developing and applying Generative AI based technology
  • Experience with Hadoop and NoSQL related technologies such as Map Reduce Hive HBase mongoDB Cassandra.
  • Experience with GPU programming


Additional Information :

Benefits/Perks

Employment Type

Remote

Company Industry

Department / Functional Area

Analytics

Key Skills

  • Machine Learning
  • Python
  • Data Science
  • AI
  • R
  • Research Experience
  • Sensors
  • Drug Discovery
  • Research & Development
  • Natural Language Processing
  • Data Analysis Skills
  • Toxicology Experience

About Company

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