Remote Senior Data Scientist

Description:

• Softeta is an IT solutions provider based in Vilnius, Lithuania, with over 90 professionals located across Lithuania and Poland.
• The company supports organizations in overcoming complex IT challenges through tailor-made software development and data-driven solutions.
• Softeta is seeking a Senior Data Scientist to join their vibrant team and work for a client in the energy sector.
• The role requires a strong record of work on AI/ML projects in production.
• Candidates must have professional expertise in building Python applications, including designing, executing, and maintaining them.
• Familiarity with MLOps practices is essential for this position.
• An understanding of drift, bias, and correlation in dealing with data is required.
• A good understanding of software development best practices and CI/CD tools is necessary.
• A Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field is required.
• High proficiency in English is mandatory.
• The position offers diverse and technically challenging projects.
• Flexible working hours and a hybrid or remote workplace model are available.
• The role includes a flexible schedule and operates within an Agile/SCRUM environment.
• Candidates will have the option to choose their technical equipment.

Requirements:

• Candidates must have a strong record of work on AI/ML projects in production.
• Professional expertise in building Python applications, including designing, executing, and maintaining them, is required.
• Familiarity with MLOps practices is essential for the role.
• An understanding of drift, bias, and correlation in dealing with data is necessary.
• A good understanding of software development best practices and CI/CD tools is required.
• A Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field is mandatory.
• High proficiency in English is a must.

Benefits:

• The position offers diverse and technically challenging projects.
• Employees enjoy flexible working hours and a hybrid or remote workplace model.
• A flexible schedule is provided, along with an Agile/SCRUM environment.
• Candidates will have the opportunity to choose their technical equipment.