Senior Data Scientist, Innovation Lab

This is a fully remote position, open to applicants in California.

📋 Description

• Develop sophisticated machine learning analytical solutions to derive insights from various structured and unstructured data sources.

• Extract data value by selecting and implementing appropriate machine learning, deep learning, and processing techniques.

• Enhance data manipulation and retrieval by designing efficient data structures and storage solutions.

• Innovate using tools tailored for data processing and information retrieval.

• Analyze and document extensive datasets to identify patterns and insights.

• Address complex challenges by creating impactful algorithms.

• Ensure the excellence of models by validating performance metrics and assessing return on investment and benefits.

⛳️ Requirements

• A Master's Degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative discipline.

• A minimum of 2 years of experience in AI, data science, or predictive modeling.

• Proficiency in various programming languages, particularly Python.

• Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.

• Familiarity with open-source tools for deep learning and machine learning technologies, such as PyTorch, Keras, TensorFlow, scikit-learn, and pandas.

• Experience in large data analysis using PySpark.

• Knowledge of LLMs and relevant tools in the Generative AI sector.

• Proficiency in Hadoop and NoSQL technologies, including MapReduce, Hive, HBase, MongoDB, and Cassandra.

• Experience in modifying and applying advanced algorithms to solve practical problems.

• Familiarity with online and mobile marketing analytics.

• Experience in GPU programming.

🏝️ Benefits

• Flexible Time Off: 20 Days.

• Core benefits, including medical, dental, vision, and a matching 401K.

• A flexible work environment with options to work remotely, in a hybrid setting, or in-office.

• Flexible time off policies, including volunteer time off, vacation, sick days, and 12 paid holidays.