Data Analyst – NLP Data Science (BHJOB22048_676)

ITmPowered Consulting; Ontario; On-site; CAD 80,000 - 110,000; Full time

Job summary

A business consulting firm in Ontario is seeking a Data Analyst specialized in NLP and data science. The role involves applying analytics to business strategies, developing models, and collaborating with stakeholders. The ideal candidate holds a Bachelor’s degree and has over 4 years of experience in data analysis using Python and R. This is a full-time position on site, requiring local resources only.

Qualifications

• 4+ years’ experience as a Data Scientist or Sr. Data Analyst.
• Experience in text mining or NLP modeling using large text datasets.
• Strong written and verbal communication skills.

Responsibilities

• Provide analytics recommendations and communicate them to leadership.
• Develop algorithms and models to improve business metrics.
• Design data models and build scalable systems.

Skills

Python

R

NLP

Text Mining

Machine Learning

Statistical Analysis

Education

Bachelors Degree in Applied Statistics, Math, Econometrics or similar

Tools

SAS Text Miner

KNIME

Job description

Overview

Data Analyst – NLP Data Science (BHJOB22048_676)

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Location/Type: Ontario, California • Contract to Perm

Posted 3 years ago

Responsibilities

• Partner with business executives and provide recommendations to leadership on appropriate application of analytics to business strategies and effectively communicate implications to senior leadership.
• Identify problems, develop recommendations, influence key stakeholders to adopt, drive it to execution.
• Develop and apply algorithms and models to key business metrics to improve operations.
• Create data pipelines, data models, using Python, R, SAS Text Miner, and KNIME.
• Use confidence intervals and significance of error measurements to develop and evaluate data sets.
• Design and develop data models, logical / physical database designs, big data pipelines and ML algorithms.
• Leverage and expand your experience in NLP, ML, AI algorithms and methods for information extraction, topic modeling, parsing, and relationship extraction.
• Use knowledge of NLP concepts like TFIDF, N-gram Modeling, Stemming and Lemmatization, Entity Extraction, Sentiment Analysis, Document Classification, Topic Modeling, Natural Language Understanding (NLU), Natural Language Generation (NLG) and word embedding.
• Utilize text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing.
• Experience in producing, processing, evaluating and utilizing training data.
• Provide data architectural leadership in developing enterprise data / process models, and logical / physical database designs. Provide data and database development, maintenance, support.
• Conduct research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business.
• Presents findings, analysis, and recommendations to business executives for decision making.
• Design distributed and scalable systems. Test and document the software you develop.
• Perform research, analysis, and modeling on organizational data.
• Builds technical knowledge to support research and analytic responsibilities including neural networks, speech recognition and natural language processing.
• Ensure that the delivered NLP Analytics products meet the business needs of the company.

Requirements

• Bachelors Degree in Applied Statistics, Math, Econometrics or similar. (or 4 additional years experience).
• 4+ years’ experience as a Data Scientist and / or Sr. Data Analyst with strong use of Python and R.
• 3-6 years experience in text mining or NLP modeling and applications, using large amounts of text data, and extracting insights quickly – using SAS Text Miner and KNIME.
• Knowledge of various machine learning techniques and key parameters that affect their performance.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation of data sets, etc.
• NLP experience highly preferred; Knowledge of NLP concepts like TFIDF, N-gram Modeling, Stemming and Lemmatization, Entity Extraction, Sentiment Analysis, Document Classification, Topic Modeling, Natural Language Understanding (NLU), Natural Language Generation (NLG) and word embedding. Experience with NLP methods for information extraction, topic modeling, parsing, and relationship extraction. Understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing.
• Experience in Python, and R as well as SAS Text Miner and KNIME.
• Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand.

Logistics

• Local resources only. On site only. No remote.
• NO sub- NO sponsorship available.

To apply for this job email your details to [e-mail]

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Business Consulting and Services

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