Position: Data Scientist
Company: Simplify
Experience required: 3y
English level: upper

We are currently seeking a talented and experienced Data Scientist to join our team. As a Data Scientist, you will play a crucial role in developing and training textual data machine learning models. If you meet the following qualifications and have a passion for working with data, we encourage you to apply.

**Key Responsibilities:**
•	Develop and train machine learning models for textual data analysis.
•	Collaborate with cross-functional teams to define project objectives and requirements.
•	Analyze and interpret complex data sets to extract valuable insights.
•	Create data pipelines and preprocess data for analysis.
•	Stay updated with the latest advancements in machine learning and data science.
•	Work independently and as part of a team to meet project deadlines.

**Qualifications:**
•	Minimum of 2 years of work experience as a Data Scientist.
•	Proven track record of working on at least 3 projects related to textual data analysis.
•	Each project should have involved a minimum of 600 man-hours of work.
•	At least 100 man-hours of work must have been performed in the corresponding role.
•	Strong proficiency in machine learning techniques and algorithms.
•	Proficiency in programming languages such as Python and R.
•	Experience with data visualization tools and libraries.
•	Strong analytical and problem-solving skills.
•	Excellent communication skills in both written and spoken English.
•	Ability to work independently and collaborate effectively within a team.

**We offer:**
• Professional development and personal growth
• Financial opportunities that attract
• Remote work option
• Comfortable working environment
• Paid vacation
• Paid sick leave
• Friendly and open-minded team

If you meet the qualifications mentioned above and are excited about the opportunity to work on cutting-edge data science projects, we would love to hear from you. Please submit your application, including your resume and a cover letter detailing your relevant experience and skills.