AI Data Scientist

AI Data ScientistWe are seeking a highly motivated and skilled AI Data Scientist to join our growing team. You will be responsible for the entire data lifecycle, from acquisition and cleaning to processing and preparation for training our cutting-edge AI models. A key focus of this role will be developing innovative synthetic data generation techniques to augment existing datasets and improve model performance. You will play a vital role in building robust and scalable data pipelines that power our AI-driven automation solutions.Key ResponsibilitiesManage the entire data lifecycle from acquisition and cleaning to processing and preparationDevelop innovative synthetic data generation techniques using generative models (GANs, VAEs)Design and implement robust data pipelines using modern orchestration toolsPerform data acquisition through web scraping, API integration, and database queryingExecute data cleaning, normalization, and preprocessing for various data typesImplement data quality monitoring, validation techniques, and governance principlesCreate data visualizations and work with feature engineering platformsRequirementsEssential Requirements:3+ years of experience in data science, with a focus on data preparation and feature engineeringStrong proficiency in data acquisition techniques, including web scraping, API integration, and database querying (SQL and NoSQL)Expertise in data cleaning, normalization, and preprocessing techniques for various data types (structured, unstructured, time-series)Proven experience in synthetic data generation techniques, including generative models (GANs, VAEs) and data augmentation methodsSolid understanding of data pipeline architectures and tools (Apache Airflow, Luigi, Prefect)Proficiency in Python and experience with data science libraries (Pandas, NumPy, Scikit-learn)Experience with cloud-based data storage and processing platforms (AWS S3, Google Cloud Storage, Azure Blob Storage)Strong problem-solving and analytical skillsPreferred Qualifications:Bachelor's Degree in Computer Science, Statistics, Mathematics, or related fieldExperience with big data technologies (Spark, Hadoop)Experience with data quality monitoring and validation techniquesExperience with data governance and data privacy principlesExperience with feature stores and feature engineering platformsExperience with data visualization tools (Tableau, Power BI)What We OfferCompetitive salary with equity participationComprehensive health, dental, and vision coverageFlexible work arrangements and remote optionsProfessional development and conference attendanceWork with cutting-edge data and AI technology