Machine Learning Data Scientist
Description For Machine Learning Data Scientist
Caribou is revolutionizing the international tax landscape by making it accessible to businesses of all sizes. As a YC-backed company with support from Accel and Lakestar, we're tackling Transfer Pricing first - an area where one million businesses need help but only ten thousand experts exist.
As our Machine Learning Data Scientist, you'll be at the forefront of applying AI to solve complex international tax challenges. You'll work with large datasets from customer books and accounts, developing and deploying machine learning models that generate actionable insights for our transfer pricing team. This role combines technical expertise in ML with practical business impact, as you'll collaborate closely with tax and accounting experts to drive innovation.
The ideal candidate brings strong technical foundations in machine learning, statistics, and programming, with experience handling real-world datasets. You'll need to be comfortable working in a startup environment, translating complex concepts to diverse audiences, and staying current with the latest developments in AI and data science.
We offer a competitive package including equity options, health benefits, and a strong focus on personal development. Join us in making international tax compliance accessible and affordable for businesses worldwide, breaking the Big Four's monopoly on expertise. If you're passionate about using ML to solve real-world problems and want to be part of a mission-driven team, this role offers the perfect opportunity to make a significant impact.
Responsibilities For Machine Learning Data Scientist
- Work closely with our tax/accounting team to understand financial processes with our customers
- Design and implement machine learning algorithms to assist us with these processes
- Evaluate model performance using appropriate metrics and optimize for accuracy, efficiency, and scalability
- Collaborate with engineers to integrate ML models into production systems
- Conduct exploratory data analysis to uncover trends, patterns, and opportunities for improvement
- Stay current with advancements in machine learning, AI, and data science methodologies to continuously improve processes and solutions
Requirements For Machine Learning Data Scientist
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field (Bachelor's with significant experience also considered)
- 3+ years of experience in data science, machine learning, or a related role
- Proficiency in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, Scikit-learn, or Pandas
- Strong understanding of statistical modeling, probability, and optimisation techniques
- Ability to work with messy, real-world datasets and perform feature engineering
- Excellent problem-solving skills and attention to detail
- Strong communication skills to convey complex concepts to diverse audiences
Benefits For Machine Learning Data Scientist
- Competitive salary
- Generous EMI options
- 100% book subsidy
- Pension
- Health Insurance
- Custom WFH equipment setup
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