Senior Data Scientist, Remote

Experian; United States; Remote; USD 148,000 - 268,000; Full time

Job summary

A leading company is seeking a Principal Data Scientist to join their Innovation Lab. This role involves researching and developing analytical solutions, prototyping new products, and evaluating data assets. The ideal candidate will have extensive experience in predictive modeling and machine learning, and will work closely with various departments to enhance client relationships and drive business profitability.

Benefits

20 vacation days to start

Comprehensive benefits package

Flexible work schedule

Relaxed dress code

Bonus of 20%

Qualifications

• 2+ years of experience in AI, data science, or predictive modeling.
• Experience with large data analysis using Spark.

Responsibilities

• Create advanced machine learning analytical solutions.
• Refine data manipulation through efficient data structures.
• Ensure model excellence by validating performance scores.

Skills

Predictive Modeling

Machine Learning

Deep Learning

Data Analysis

Python

Education

Advanced degree in Machine Learning, Data Science, AI, or related field

Tools

PyTorch

Keras

TensorFlow

Scikit-learn

Spark

Hadoop

Job description

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Job Posting - Salary Range: $148,617 - $267,510

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Job Overview

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's departments to enhance relationships with clients and acquire strategic datasets. Experian is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Principal Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Director of Data Science

Responsibilities

• 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.
  
  

Qualifications

• Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• 2+ years of experience in AI, data science, or predictive modeling
• Proficiency in multiple programming languages, including Python
• Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), 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 preferred)
• Experience with LLMs and the relevant tools in the Generative AI domain.
• 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
• Experience with online, mobile marketing analytics
• Experience with GPU programming
  
  

Additional Information

Benefits.

• 20 vacation days to start (along with 12 paid holidays)
• Great compensation package and comprehensive benefits package, with a bonus of 20%
• Flexible work schedule and relaxed dress code
  
  

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

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