Experian
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Data Scientist, Innovation Lab
Location
United States
Posted
56 days ago
Salary
$133.1K - $239.6K / year
Postgraduate Degree1 yr expEnglishCassandraHadoopHbaseKerasMongo DBNo SQLPandasPy SparkPythonPy TorchScikit LearnSparkTensorflow
Job Description
• Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
• Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
• Refine 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.
• Solve complex challenges by developing impactful algorithms.
• 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.
Job Requirements
- Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
- 1 or more years of experience in AI, data science, or predictive modeling
- Proficiency in at least one programming language, with coding skills in Python
- Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or 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)
- Experience with LLMs and the relevant tools in the Generative AI domain.
- Experience developing advanced language models
- Experience applying Generative AI-based tools
- Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
- Experience modifying and applying advanced algorithms to address practical problems
Benefits
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
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