Remote Senior Data Scientist - GenAI

Description:

• Analytica is seeking a remote Senior Data Scientist specializing in GenAI to support long-term federal client engagements in financial regulatory or health projects in the DC Metro area.
• The role involves applying statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems.
• Responsibilities include pre-processing data, feature engineering, modeling, validation, and visualization of results.
• Candidates will demonstrate skills in collecting, cleaning, and preparing data sets using technologies such as Python, and will explain various pre-processing methods.
• Experience with NLP feature engineering methods and selecting modeling techniques to fit business problems is required.
• Candidates should have experience in presenting modeling results and insights relevant to organizational challenges.

Requirements:

• A Master's degree or PhD in Statistics, Mathematics, Computer Science, or a similar field is highly preferred.
• 5-10 years of relevant professional experience in a similar role is required.
• A high degree of experience utilizing Python for NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and Topic Modeling is necessary.
• Experience working in a cloud environment and hands-on experience with AWS is required.
• Some competency with computer vision is required.
• Experience with multi-modal GenAI/LLMs and prompt engineering techniques is necessary.
• At least four years of experience developing scalable, production-ready NLP solutions using libraries such as sci-kit learn, Keras, TensorFlow, PyTorch, and Spark NLP is preferred.
• Experience leveraging transformer architecture to develop NLP models is required.
• Familiarity with open-source NLP packages such as Gensim, SpaCy, or NLTK is necessary.
• Familiarity with Databricks is required.
• Experience with transformer models like BERT, GPT-J, RoBERTa, T5, or others is necessary.
• Candidates must have experience presenting findings to executive leadership or mid-level management.
• Must be a US citizen and able to obtain and maintain a Public trust security clearance.

Benefits:

• The company offers competitive compensation with opportunities for bonuses.
• Employer-paid health care is provided.
• Training and development funds are available for employees.
• A 401k match is offered to support employees' retirement savings.