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.

Key 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 technicaldocumentation and research publications.

· Minimum master's degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline.

Job Type: Full-time

The Brite Group Incorporated

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