Senior Data Scientist

Job Summary:

We are seeking a Senior Data Scientist with expertise in developing advanced ML and AI models. Familiarity with data science toolkits & libraries (e.g., PyTorch, Hugging Face, Langchain, SciKit Learn, Pandas, NumPy, Jupyter, etc.) is a plus, and bonus points if you've already played around with large language models (LLMs)! The ideal candidate will be responsible for designing, developing, and fine-tuning complex models that form a core component of Neo.Tax's current and future products.

P.S. We are a remote company, but we prefer to hire in time zones that can overlap with our HQ in Mountain View, CA!

Responsibilities:• Design, develop, and maintain AI & LLM models to improve tax automation for Neo.Tax's customers.• Establish methodologies and metrics for assessing and measuring the effectiveness of our predictive models in deployed environments.• Collaborate with cross-functional teams-including engineers, product managers, and designers-to define and refine requirements for our AI & LLM models.• Apply advanced statistical and machine learning techniques to extract insights from large datasets and cur high-quality training data.• Conduct extensive research on emerging techniques and methodologies related to language modeling, and apply them to improve the performance of our models.• Evaluate and fine-tune existing language models to address performance limitations, improve efficiency, and ensure continuous model enhancements.• Stay up-to-date with the latest trends and advancements in AI and large language models.

Preferred Qualifications:• Experience with the latest ML tools and libraries (e.g, Hugging Face Transformers, PyTorch, Langchain)• Experience with data analysis and visualization tools• Familiarity with prompt engineering and fine-tuning of LLMs• Familiarity with the latest research on artificial intelligence, LLMs, and natural language processing

Requirements• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related field• Extensive experience in developing predictive models on a variety of tasks and domains, preferably with a proven track record of successfully deploying models in production environments• Experience with statistical fundaments (e.g., regressions, properties of distributions, hypothesis testing, etc.)• Experience with machine learning concepts, such as supervised vs. unsupervised learning, active learning, online learning, bagging, boosting, and online learning• Experience with a variety of AI & ML models, such as decision trees, random forests, clustering methods, transformers, and large language models• Strong grasp of Python, as well as the typical data science tool stack (e.g., Jupyter, Pandas, NumPy, SciKit Learn)• Experience with SQL and data processing platforms (e.g., Spark, BigQuery, Snowflake)• Strong problem-solving and analytical skills• Excellent communication and collaboration skills• Ability to work independently and as part of a team

Benefits

• Stock Option Plan (Equity)
• Health Care Plan (Medical, Dental & Vision)
• Health and Wellness subsidy
• Retirement Plan (401k)
• Family Leave (Maternity, Paternity)
• Work From Home
• Paid Time Off (Vacation, Sick & Public Holidays)