We're looking for a top-notch Actuarial Data Scientist to join our team and develop a state-of-the-art, self-learning pricing algorithm. If you're an expert in advanced multivariate regression techniques and machine learning, this is the job for you.
Here's what you need to do:
- Design, develop, and implement a self-learning, multivariate regression-based pricing model that accurately predicts prices based on a shitload of item attributes
- Optimize the algorithm for speed and efficiency to ensure real-time pricing capabilities
- Continuously monitor, validate, and refine the pricing model to improve accuracy and adapt to changing market conditions
- Develop and maintain documentation for the pricing algorithm, including methodology, assumptions, and performance metrics
If you want this job, you better have:
- A Master's degree or higher in Actuarial Science, Data Science, Statistics, or a related quantitative field
- 5+ years of experience in developing and implementing advanced pricing models, preferably in a consumer-focused industry
- Strong expertise in multivariate regression, machine learning, and self-learning algorithms
- Proficiency in statistical programming languages such as R, Python, or SAS
- Excellent problem-solving, analytical, and communication skills
- The ability to work in a fast-paced, results-oriented environment
Job Type: Contract
Experience level:
Schedule:
- 8 hour shift
- Monday to Friday
Application Question(s):
- In case you created your Resume via indeed please share a copy of it to my email address at hr@cashforarms.com
Education:
Experience:
- developing and implementing advanced pricing models: 5 years (Required)
- multivariate regression, machine learning, and algorithms: 5 years (Required)
- R, Python, or SAS: 5 years (Required)
Work Location: Remote