[Remote] Data Scientist
Note: The job is a remote job and is open to candidates in USA. Pyramid Consulting, Inc is seeking a Data Scientist with a strong background in natural language processing and deep learning. The role involves designing and developing large language models for specific use cases, collaborating with cross-functional teams, and ensuring the ethical use of AI models.
Responsibilities
- Support Data-Science and other analytics as needed
- Develop SQL queries and data sets
- Develop business and client facing reports
- Design and develop LLMs for specific use cases, including but not limited to text generation, summarization, and conversational agents
- Prompt engineer pre-trained LLMs on domain-specific data to optimize performance for target applications
- Develop RAG based applications
- Collaborate with data scientists, engineers, and product teams to integrate LLM capabilities into existing systems and platforms
- Optimize model performance in terms of accuracy, speed, and resource utilization
- Ensure the ethical use of AI models and implement fairness, accountability, and transparency measures
Skills
- Strong problem solving skills with an emphasis on product development
- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
- Experience working with and creating data architectures
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- Excellent written and verbal communication skills for coordinating across teams
- A drive to learn and master new technologies and techniques
- Experience manipulating data sets and building statistical models
- Has a Master's or PhD in Statistics, Mathematics, Computer Science or another quantitative field
- Familiar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc
- Knowledge and experience in statistical and data mining techniques: GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
- Experience querying databases and using statistical computer languages: R, Python, SQL, etc
- Experience using web services: Redshift, S3, Spark, etc
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
- Experience analyzing data from 3rd party providers: Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
- Strong grasp of NLP concepts such as tokenization, embeddings, attention mechanisms, and sequence modeling
- Experience in handling domain adaptation, multi-task learning, and transfer learning
- Experience with popular deep learning frameworks (e.g., TensorFlow, PyTorch)
- Proven track record of prompt engineering, RAG system development and fine-tuning large pre-trained models (e.g., GPT, BERT, T5, etc.)
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