Senior Data Scientist

Inspyr Solutions

Woodlawn, MD, United States

17 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Big Data Code Review Encodings Continuous Integration Data Cleansing Data Security IBM DB2 Text Processing Apache Hadoop Information Extraction Information Sciences Python (Programming Language)

+16 more

PostgreSQL Microsoft SQL Server Natural Language Processing Named Entity Recognition Oracle (Applications) Regular Expressions SQL Databases Unstructured Data Freeform SQL Indexer Scikit Learn Information Technology Spacy Software Version Control Data Pipelines Jenkins

Job description

We are seeking a Senior Data Scientist with strong experience in NLP, text processing, information extraction, entity resolution, Python, and SQL. This role will design and optimize data processing pipelines, work with large and complex datasets, and develop scalable analytics solutions in an enterprise environment., * Design, develop, and maintain data processing and entity resolution pipelines using Python and SQL.

Apply NLP and text-processing techniques to clean, match, standardize, and extract information from structured and unstructured data.
Develop solutions using Named Entity Recognition, TF-IDF/Cosine Similarity, Blocking/Indexing, String Distance Metrics, Phonetic Encoding, and Address Standardization.
Optimize complex SQL queries and database operations for performance and scalability.
Perform data cleansing, transformation, validation, testing, deployment, and monitoring.
Participate in code reviews and follow version control, data security, and reproducibility best practices.
Communicate complex technical concepts and analytical decisions effectively to technical and non-technical stakeholders.

Requirements

Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Information Science, or related field.
10+ years of IT experience; alternatively, Master’s + 10 years, Bachelor’s + 12 years, or 18+ years of relevant experience in lieu of a degree.
Strong hands-on experience with NLP, text processing, information extraction, Python, SQL, and Regex.
Experience with Named Entity Recognition, entity resolution, record linkage, and data matching techniques.
Experience with Python libraries/frameworks such as spaCy and Scikit-learn.
Familiarity with record linkage tools such as Splink, FastLink, Dedupe, or recordlinkage.
Excellent written and verbal communication skills.
Ability to obtain and maintain a Public Trust clearance.
Must be willing to work on-site 5 days per week in Woodlawn, MD.

Preferred Qualifications

Experience supporting federal, state, or local government data initiatives.
Experience with PostgreSQL, DB2, Oracle, SQL Server, Hadoop, and flat files.
Experience with Jenkins, CI/CD, and data pipeline automation.
Experience designing and owning data pipeline architectures from discovery through implementation and monitoring.
Strong analytical, problem-solving, and cross-functional collaboration skills.