Data Scientist

The Brite Group Incorporated • Full-time • Herndon, VA, US • $110k - $120k / year • 1d ago

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

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