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Senior Data Scientist - Natural Language Processing (NLP) at The Straits Network

Lynk aims to revolutionize how people and companies access knowledge. Our advanced expert knowledge platform is used by global top tier asset management firms, investment banks, hedge funds, private equity firms, management consulting firms and multinational corporates. With Lynk, our enterprise clients can access the world's greatest minds for quick conversations or projects, who help advise on strategy, due diligence, and critical business decisions.



Join us, and tackle some of the most challenging problems in natural language processing and large scale applied machine learning. You will build cutting edge natural language understanding technologies and deploy them on a global scale.



What Youll Do



Deliver data-driven products, insights and inferences employing methodologies in the Data Science and primarily Machine Learning domains

Maintain knowledge of and concurrency with cutting-edge but commercially-viable (resilient and scalable) methodologies in the Data Science and primarily Machine Learning domains

Translate complex and embryonic ideas into tangible data-driven deliverables; iterate; test; and sensibly promote or demise solutions to our customers

Design and implement Semantic-enabled systems, enterprise data lakes and semantic search applications in the intersection of Semantic web and ontology, knowledge graph and domain model, NoSQL and graph database, NLP, Solr/Lucene, text mining and machine learning

Lead and develop ontological knowledge graphs to capture knowledge in domain models and metadata

Build semantic master/ systems to automate data analytics and services using AWS EC2, S3 (distributed data lake), Elastic Map Reduce (computation cluster), Data Pipeline (job management in Spark (Scala) on Hadoop, using Avro and Parquet) and Redshift (columnar data warehouse), and Google Big Query and CloudStorage.

Design domain-driven event models and event sourcing paradigm for a real-time Web-scale "event" processing platforms



What Expertise Youll Add To The Team



Top-notch expertise in Knowledge Representation and Discovery, Semantic Web, Ontology and Knowledge Graph, NLP and text mining

Ideally PhD in a STEM subject directly leveraging the application of Machine Learning to a level where critique of algorithms operations/principles comes naturally to you. Extensive experience in lieu of a PhD may be considered



Advanced expertise in at least:

Python,

R,

ML tooling from Cloud providers (ideally AWS)

The ability to train elementary machine learning models such as logistic regression and random forests, to select the right tool or the right task and to judge when a model is good enough for a particular purpose



Experience with a core ML domain sub-speciality such as:

(Deep) Neural Networks,

Natural Language Processing (NLP),

Conditional Random Fields,

Mechanism Design,

Latent Dirichlet Allocation.

Proven track record of implementing a real-world Recommender or Ranking system

Strong experience with Agile delivery methods

Experience in API creation is a strong plus

Solid experience in implementing multi-core/distributed software

Experienced in solving real problems using machine learning techniques and with statistical rigor

Excellent communication skills; the ability to convey complex analysis results clearly and with conviction to all stakeholder levels



What We Commit To You



Competitive remuneration package in a rapidly-expanding growth stage global company



Comprehensive medical insurance coverage

Generous leave policy, including a work remote policy

The opportunity to travel and work around the globe with our international clients and growing number of offices (Hong Kong, Shanghai, Singapore, Mumbai, Hyderabad, Manila, Ho Chi Minh, New York City, Toronto)



Notes:

  • LYNK employees are prohibited from trading Restricted Securities (defined as any security whose performance is linked to a single company) on any Personal Trading Account.
  • All future new joiners are required to undergo a background check.

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by Tsutomu Narushima