We are hiring a Data Science Practitioner for a 100% onsite role in Woodlawn, MD. The selected resource must have a clearable background and be eligible to work on W2. No third party candidates accepted.

Role Description:

• Masters +2 years of experience or 6 years relevant work experience

• Excellent oral and written communication skills

• Formulate and rapidly prototype various approaches as well as effectively communicate the pros and cons of each.

• Excellent time management

• Ability to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goals

• Provide technical guidance in the fields of NLP, Machine Learning, Statistical Methods

• Provide data-driven approaches to tackle various business and NLP problems

• Ability to contribute to the creation of an environment that motivates individuals to work collaboratively as a team

Requires proficiency in:

• Python (required)

• Regular Expressions

• SQL (PostgreSQL)

• No-SQL (MongoDB)

• Version control systems (Git)

• Experience with ML frameworks: Tensorflow, PyTorch, Transfomers, Scikit-learn XGBoost, LSTM, Keras, Pandas, BERT, CNN, RNN, SVMs, k-Nearest Neighbors, Linear/Logistic Regression and Classification, Ensemble Methods, Graphical Models, Clustering, Tesseract

• Information Extraction

• Statistical model building (particularly classification)

• Ability to draw insights from sparsely labeled textual data.

• Ability to leverage domain knowledge as well as ontologies to improve model performance

Strong understanding of statistical modeling and experimental design including:

• when to value precision vs recall

• bias/variance tradeoffs

• handling sampling issues

• ability to improve performance on noisy data (both textual and numeric)

Knowledge of and experience using various NLP approaches, particularly:

• Pattern recognition/feature extraction

• Supervised, Unsupervised, and Semi-Supervised learning techniques

• Understanding of various language models (N-Gram, Skipgram, NLM, etc.)

• Practical experience leveraging open source libraries for emerging DNN approaches to NLP (transformers, BERT, RoBERTA, etc.)

• Chunking/Tokenization

• Semantic parsing

The following skills are not required but are highly desired:

• Experience with NLP technologies

• Experience with machine learning

• Web Service technologies such as SOAP, WSDL, WS-Security, MTOM, SWA

• Relational Databases such as DB2, Oracle, MySQL, SQL, JDBC

• NoSQL databases such as MongoDB and HBase

• Hadoop, Spark, HDFS, MapReduce, YARN, Scala, MapReduce, Pyspark

• XML processing experience such as XSD, XPath, XSL, XSLT, etc.

• ebXML

• IBM MQ Series

Hicks Professional Group (HPG) jobs

Hicks Professional Group (HPG) | Customer Service Program Assistant

Data Science Practitioner (must be w2, no third party)