Data Scientist, Remote
Data Scientist, Remote
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Salary Not Disclosed
1 Vacancy
Job Description
Overview
Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experians 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.
Qualifications :
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 opensource tools for deep learning and machine learning technology such as pytorch Keras tensorflow scikitlearn 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 AIbased 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
- #LIRemote
Our uniqueness is that we celebrate yours. Experians 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. Experians people first approach is awardwinning; Worlds 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 Experians 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.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Analytics
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
