Role Overview:

Be involved in every phase of the machine learning process, from initial research to production implementation. Engage in strategic discussions and post-release enhancements. You'll navigate through extensive machine learning literature, always keeping the specific objectives in mind. Your role includes selecting and implementing the best models for various challenges and effectively communicating your decisions at any level, whether explaining the activation function in a neural network layer or simplifying the goals and results. Take charge of critical projects within the company, driving them forward with initiative and reliability.

What We’re Looking For:

An exploratory mindset with a proactive approach.

Strong analytical and quantitative skills.

Experience in research, data science modeling, or engineering in related fields.

Proficiency in machine learning, including classification, regression, and handling categorical and numeric data.

Expertise in time series analysis and various neural network models and applications.

Ability to take a project from concept through to implementation.

Technical proficiency in Python for analysis and SQL for data management.

Benefits:

Competitive compensation package.

Flexible remote work options.

Opportunities for professional development and career growth.

Comprehensive health and wellness benefits.

Supportive and collaborative team environment.

Access to cutting-edge technology and resources.