Senior Data Scientist II - Raleigh, NC

Remitly • Raleigh, NC

2d • Onsite

About The Position

As a Senior Data Scientist II, you will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how our users search and find the answers to their research questions. This role should be able demonstrate versatility, collaborate across teams, and be enthusiastic in tackling new problems as we continue to push technology forward. Your responsibilities would be to support the development and training of junior staff and to develop best practices.

Requirements

• In-depth understanding of machine learning techniques such as classification, clustering, recommendation systems, and statistical models.
• Experience using Machine Learning and associated packages like scikit-learn, pandas, NumPy.
• Proficiency training large scale models in at least one modern deep learning engine such as TensorFlow, Keras, PyTorch/Torch, MXNet, Caffe/Caffe2
• Min 5 years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy
• Min 5 years recent coding experience using Python AND/OR (Java OR Scala)
• SQL programming experience
• Experience and ability to design and work within complex data models.
• Strong skills in setting, communicating, implementing, and achieving business objectives and goals
• Familiarity with Cloud-based Machine Learning environments, Spark, Visualization/Dashboarding, Elasticsearch, Solr, Graph DBs (i.e., Janus Graph, Neptune, etc.)
• Able to work well on a Small Team and Lead other more Jr members of the team

Responsibilities

• Working to solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection.
• Research, build, and deploy models based on both shallow and deep machine learning.
• Train robust NLP-based models a very large corpus of news and financial data
• Apply machine learning techniques for improving search algorithms.
• Drive best practices for NLP/Machine Learning pipelines.
• Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods, able to quickly evaluate alternatives
• Translate complex business requirements into actionable stories with reasonable time estimates.
• Work with product leaders to apply data science solutions.

Benefits

• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
• Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
• Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed