Required Education and Experience:• 3+ years professional experience with modeling and analysis, computational linguistics/natural language processing (NLP), machine learning, deep learning, and/or large-scale “big data” mining• Extensive experience with a number of machine learning modelling approaches, e.g. neural networks, SVMs, probabilistic graphical models• Programming experience in Python and Java• Experience with data visualization tools• Researching and recommending machine learning algorithms and data sets for advancing the state-of-the-art techniques for a variety of analytics, including entity resolution, entity reconciliation, named entity recognition, co-reference, anaphora• Basic knowledge of embedding models e.g. word2vec, GloVe• Solid statistics knowledge e.g. hypothesis testing, ANOVA, chi-square tests• Command of data science principles e.g. regression, Bayes, time series, clustering, P/R, AUROCPreferred Education and Experience:• Knowledge of the a related domain, e.g. financial services, electronic communications, FINRA/SEC regulations• Experience with pyTorch, TensorFlow, or similar deep learning libraries• Masters in Computer Science, Applied Math, Statistics, or a scientific field with a strong background in natural language processing, text mining.• Programming experience in one or more dynamic languages, e.g. Scala, Python, R• Strong communication and collaboration skills• Familiarity with SQL and noSQL databases e.g. MySQL, PostgreSQL, Elasticsearch, Redis• Working knowledge of distributed processing systems, e.g. Hadoop Map/Reduce, Spark, Flink Develops block diagrams and logic flow charts. Translates detailed design into computer software. Supports testing, debugging, and refining the computer software to produce the required product. Helps prepare both program-level and user-level documentation. Enhances software to reduce operating time or improve efficiency.
This resource will be building tools to do email communication audits for Financial crimes and anti-money laundering. They will mostly be working on model development.
Resource MUST HAVE STRONG COMMUNICATION SKILLS to face off against the internal Corporate group clients. MUST have the soft skills to work with the business folks.
- Unix experience
- Database knowledge - Oracle
- ElasticSearch knowledge
- Apache -Hadoop knowledge
- Strong analytical skills
- Strong communication skills
- Data science / machine learning.
- GIT HUB knowledge (Version control for Models)
- Groovy/java experience (NLF/DJ pipelines are written in Groovy)About Starpoint:
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Starpoint is an Equal Opportunity Employer.