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Lead AI Data Scientist – Applied AI & Prompt Engineering
Company | blend360 |
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Location | Columbia, MD, USA |
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Salary | $110000 – $160000 |
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Type | Full-Time |
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Degrees | Master’s, PhD |
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Experience Level | Mid Level, Senior |
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Requirements
- MS or PhD in Data Science, Statistics, Computer Science, or a related field
- 4+ years of experience in applied machine learning and advanced analytics
- Effective communication skills to technical and non-technical audiences
- Proficiency in Python (and optionally R or Scala), including libraries like scikit-learn, TensorFlow, PyTorch
- Hands-on experience with generative models (e.g., GPT, diffusion models) or multimodal AI
- Strong SQL and data engineering skills; Spark/Databricks experience is a plus
- Experience deploying ML models to production (API, batch, or streaming environments)
- Comfortable leading projects and collaborating cross-functionally in a fast-paced, client-facing setting
- Familiarity with A/B testing platforms (Optimizely, Adobe Target), cloud AI services, or explainable AI tools
Responsibilities
- Lead development of advanced analytics and AI/ML models (e.g., classification, time series, GenAI, computer vision, associative rules and decisioning)
- Design and oversee robust data pipelines using SQL, Spark, and cloud platforms (AWS, GCP, Azure)
- Architect and implement solutions involving LLMs, transformer-based models, and AI agents for generative tasks and automation
- Manage and mentor a team of data scientists; guide project execution and professional development
- Collaborate with business stakeholders to translate problems into machine learning solutions, deliver insights, and drive model deployment
- Own model lifecycle: from data exploration to production deployment and monitoring (MLOps)
- Engage with multimodal data: text, image, audio, or behavioral data from web and app interactions
- Ensure quality, reproducibility, and documentation of models and findings
Preferred Qualifications
- Spark/Databricks experience is a plus