Description:

Tali is seeking a Senior Data Scientist to contribute to data-driven decision-making in transforming the healthcare system.
The role involves developing advanced models and algorithms to solve complex healthcare problems.
The position is fully remote and full-time, targeting experienced professionals.
The Senior Data Scientist will collaborate with cross-functional teams, including Product Managers and Engineers, to understand business needs.
Responsibilities include developing, testing, and implementing statistical models and machine learning algorithms.
The candidate will lead and mentor Data Scientists and Data Analysts, providing technical guidance and support.
The role requires designing scalable solutions for deploying models in production environments.
Staying updated with the latest data science techniques and applying them to improve existing processes is essential.

Requirements:

Candidates must have at least 5 years of industrial experience in Natural Language Processing (NLP) and/or Speech Recognition.
Experience in developing, training, and deploying user-facing machine learning models in production is required.
A strong background in data science, statistical modeling, machine learning, and data analysis is necessary.
Proficiency in programming languages such as Python is essential.
Experience with data manipulation and analysis tools like SQL, Pandas, and NumPy is required.
Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn is necessary.
Familiarity with cloud platforms like Vertex or SageMaker is considered a bonus.

All full-time employees enjoy fully remote work and flexible work hours.
Employees benefit from half-day Fridays, resulting in a 35-hour work week.
Comprehensive health and wellness benefits are provided from day one of employment.
Competitive time-off policies include company-wide holidays between December 25 and January 1.
Employees receive $2000 in annual "Knowledge Dollars" for professional development.
Quarterly socials and company outings are organized for team bonding and engagement.