Senior Data Scientist

What you'll do

• Develop custom data models and algorithms to drive innovative business solutions.
• Build complex datasets from multiple internal and external sources for predictive modeling.
• Conduct advanced statistical analysis to identify trends and significant data relationships.
• Train, validate, and scale machine learning algorithms for large-scale data sets.
• Implement AI model pre-training, fine-tuning, and human alignment techniques like RLHF.
• Build and optimize computer vision and natural language processing pipelines.
• Manage distributed data processing and query optimization in SQL, NoSQL, Hive, and BigQuery.
• Evaluate model performance using statistical indexes and conduct A/B testing.

What we're looking for

• Master’s degree in a quantitative field and 1 year of analytics experience, or a Bachelor’s degree and 3 years of analytics experience.
• Experience in scalable data analytics, statistical modeling, data visualization, and feature engineering using PowerBI, Tableau, Pandas, NumPy, SciPy, Spark, and PySpark.
• Experience in AI Model Pre-training, including distributed training pipelines, data curation, and optimizing architectures using PyTorch, DeepSpeed, and Hugging Face.
• Experience in AI Model Post-training and Human Alignment, including supervised fine-tuning (SFT), RLHF, and Transfer Learning.
• Experience with Deep Learning, Computer Vision, and NLP using TensorFlow, BERT, RoBERTa, and Transformer architectures.
• Experience with Distributed Data Processing and large-scale data engineering in SQL/NoSQL environments, including Hive and BigQuery.
• Experience with Information Retrieval, including Vector Embeddings, Cosine Similarity, and FAISS for semantic search.
• Experience with cloud-based model training in Azure (ML Studio) and GCP (Vertex AI), and version control using Git, GitHub, and CI/CD.