The Brite Group Incorporated
The Brite Group Incorporated provided pay range
This range is provided by The Brite Group Incorporated. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$110,000.00/yr - $120,000.00/yr Direct message the job poster from The Brite Group Incorporated We are looking for an experienced Data Scientist to develop and deploy machine learning models, build NLP solutions, and optimize data pipelines. The ideal candidate will work on anomaly detection, time-series analysis, and automation while collaborating with cross-functional teams. There is the possibility of a sign on bonus and/or relocation reimbursement. You must be a US citizen or eligible to work in the US. This is not a fully remote position.
Responsibilities
Machine Learning & NLP: Develop and deploy ML models for tasks like name screening, sentiment analysis, and text classification.
Anomaly Detection & Time Series Analysis: Build predictive models using LSTM, SVD, and other techniques.
API Development: Create APIs to integrate ML models into applications.
Able to design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.
Work with vector databases and graph databases for knowledge representation and retrieval
Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).
Data Engineering: Design scalable ETL pipelines, clean and validate data, and manage time-series databases.
Web Scraping & Automation: Develop automated data extraction solutions integrated with NLP.
Collaboration & Leadership: Work with business teams, mentor junior members, and contribute to team development.
Skills & Qualifications
4+ years of experience in AI/ML software development using Python and R
4+ years of strong knowledge of Python, TensorFlow, PyTorch, and Scikit-learn
4+ years of experience in Data Standardization, Aggregation and Integration
Experience with NLP tools (spaCy, NLTK, Hugging Face)
Hands-on expertise in anomaly detection and predictive analytics
Proficiency in SQL, Apache Spark, and cloud platforms (AWS/GCP/Azure)
Experience with API development (Flask, FastAPI)
Strong problem-solving and communication skills.
Experience working with SAS, Github, Jira, SQL, RDS, and cloud computing.
Demonstrated ability to produce high-quality technical documentation and research publications.
Minimum master's degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline.
Job Details
Job Type: Full-time
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Government Administration, IT System Data Services, and Data Infrastructure and Analytics
Get notified when a new job is posted.
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$110,000.00/yr - $120,000.00/yr Direct message the job poster from The Brite Group Incorporated We are looking for an experienced Data Scientist to develop and deploy machine learning models, build NLP solutions, and optimize data pipelines. The ideal candidate will work on anomaly detection, time-series analysis, and automation while collaborating with cross-functional teams. There is the possibility of a sign on bonus and/or relocation reimbursement. You must be a US citizen or eligible to work in the US. This is not a fully remote position.
Responsibilities
Machine Learning & NLP: Develop and deploy ML models for tasks like name screening, sentiment analysis, and text classification.
Anomaly Detection & Time Series Analysis: Build predictive models using LSTM, SVD, and other techniques.
API Development: Create APIs to integrate ML models into applications.
Able to design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.
Work with vector databases and graph databases for knowledge representation and retrieval
Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).
Data Engineering: Design scalable ETL pipelines, clean and validate data, and manage time-series databases.
Web Scraping & Automation: Develop automated data extraction solutions integrated with NLP.
Collaboration & Leadership: Work with business teams, mentor junior members, and contribute to team development.
Skills & Qualifications
4+ years of experience in AI/ML software development using Python and R
4+ years of strong knowledge of Python, TensorFlow, PyTorch, and Scikit-learn
4+ years of experience in Data Standardization, Aggregation and Integration
Experience with NLP tools (spaCy, NLTK, Hugging Face)
Hands-on expertise in anomaly detection and predictive analytics
Proficiency in SQL, Apache Spark, and cloud platforms (AWS/GCP/Azure)
Experience with API development (Flask, FastAPI)
Strong problem-solving and communication skills.
Experience working with SAS, Github, Jira, SQL, RDS, and cloud computing.
Demonstrated ability to produce high-quality technical documentation and research publications.
Minimum master's degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline.
Job Details
Job Type: Full-time
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Government Administration, IT System Data Services, and Data Infrastructure and Analytics
Get notified when a new job is posted.
#J-18808-Ljbffr