Data Scientist, Remote

Experian Group; New York (NY); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Sr. Data Scientist to join their dynamic team. In this role, you will leverage your expertise in machine learning and deep learning to craft analytical solutions that drive business insights. You will work with diverse data sources and cutting-edge technologies to develop impactful algorithms and enhance data processing techniques. This position offers a flexible work schedule and a comprehensive benefits package, including generous vacation days and a competitive bonus structure. If you are passionate about data and eager to make a difference, this opportunity is perfect for you.

Benefits

20 vacation days

12 paid holidays

Flexible work schedule

Comprehensive benefits package

Relaxed dress code

20% bonus

Qualifications

• 1+ years of experience in AI or predictive modeling.
• Proficiency in Python and experience with deep learning techniques.

Responsibilities

• Develop advanced machine learning solutions to extract insights from data.
• Validate model performance and document findings effectively.

Skills

Machine Learning

Data Science

Predictive Modeling

Deep Learning

Python

Spark

Generative AI

Hadoop

NoSQL

Education

Advanced Degree in Machine Learning

Degree in Data Science

Tools

PyTorch

Keras

TensorFlow

scikit-learn

pandas

Job description

Overview

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's teams to enhance relationships with clients and acquire strategic datasets. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Sr. Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the VP of Data Science

Responsibilities

• Craft 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.

About Experian

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.

Experience and Skills

Qualifications

• Advanced degree 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 preferred)
• 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

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
• #LI-Remote

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.