Senior Data Scientist II

LexisNexis
Morton Township, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior

Job location

Morton Township, United States of America

Tech stack

Mxnet
Java
API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Computer Programming
Data Cleansing
Elasticsearch
Graph Database
Information Retrieval
Python
Machine Learning
Natural Language Processing
Named Entity Recognition
NumPy
Open Source Technology
Recommender Systems
Cloud Services
TensorFlow
Sentiment Analysis
Solr
SQL Databases
Lexis
Latent Dirichlet Allocation
PyTorch
Large Language Models
Spark
Caffe
Deep Learning
Model Validation
Keras
Pandas
Scikit Learn
Machine Learning Operations
Gensim
Opennlp
Spacy
GPT

Job description

The Yoda team is a small, focused division within LexisNexis responsible for managing core datasets related to people, organizations, and taxonomies. These datasets are published internally and used by teams across the company to build products and deliver customer value., As a Senior Data Scientist II on the Yoda team, you will:

  • Solve challenging problems in natural language processing, machine learning, and information retrieval, including topical classification, sentiment analysis, entity extraction, and user intent detection.

  • Research, build, train, evaluate, and deploy machine learning models using both traditional and deep learning techniques.

  • Develop robust NLP-based models over large-scale corpora, including news, financial, legal, and business data.

  • Design and improve scalable NLP and machine learning pipelines.

  • Evaluate state-of-the-art algorithms, models, APIs, and open-source tools, including BERT, ELMo, GPT-based models, and related technologies.

  • Translate complex business requirements into actionable technical stories with practical estimates.

  • Partner with product leaders, engineers, and cross-functional stakeholders to apply data science solutions to real business problems.

  • Contribute to best practices for model development, evaluation, deployment, monitoring, and maintenance.

  • Support and mentor junior team members while contributing as part of a small, collaborative team.

Requirements

Do you enjoy collaborating with others to build impactful data products that power real-world applications?, * Strong understanding of machine learning techniques, including classification, clustering, recommendation systems, regression, and statistical modeling.

  • Hands-on experience with Python machine learning and data science libraries such as scikit-learn, pandas, NumPy, and related tools.

  • Experience with NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy, or similar frameworks.

  • Proficiency training large-scale models using at least one modern deep learning framework such as TensorFlow, Keras, PyTorch, MXNet, Caffe, or Caffe2.

  • Experience building and deploying cloud-based services, preferably using AWS services such as EC2 and Lambda.

  • At least 5 years of recent coding experience using Python and/or Java or Scala.

  • SQL programming experience.

  • Experience designing, working with, and reasoning complex data models.

  • Familiarity with cloud-based machine learning environments, Spark, visualization and dashboarding tools, Elasticsearch, Solr, and graph databases such as JanusGraph, Neptune, or similar technologies.

  • Strong ability to set, communicate, implement, and achieve business objectives and goals.

  • Ability to work effectively on a small team and provide technical leadership or mentorship to junior team members.

Preferred Qualifications:

  • Experience with large language models and generative AI workflows.

  • Experience with entity extraction, taxonomy management, knowledge graphs, or data enrichment.

  • Experience working with large-scale legal, news, financial, business, or professional data.

  • Familiarity with model evaluation, experimentation frameworks, MLOps practices, and production of ML monitoring.

  • Ability to quickly evaluate new approaches and determine the right tool or model for a given business problem.

Benefits & conditions

Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the company

 LexisNexis ist ein führender Anbieter intelligenter Rechtsinformation in den Bereichen Steuern, Recht und Wirtschaft. Wir bieten und entwickeln Lösungen und Services, welche die Arbeit unserer Kund:innen schneller, einfacher und produktiver gestalten. 

Als Teil des Business Systems & Technology Teams von LexisNexis Österreich stellen Sie den reibungslosen Ablauf der Geschäftsprozesse durch unsere Business Systeme sicher. Gleichzeitig tragen Sie dazu bei, dass wir unsere Systeme laufend an die sich ändernden Geschäftsprozesse anpassen und weiterentwickeln. 

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