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Remote Data Scientist

at BillingPlatform

Posted 6 hours ago 0 applied

Description:

  • BillingPlatform is an industry-leading, fast-growing SaaS company focused on revenue lifecycle management.
  • The company values collaboration, accountability, innovation, and transparency among its employees.
  • The Data Scientist will leverage expertise in data analysis, AI, machine learning, and cloud computing to solve challenging problems.
  • Responsibilities include collaborating with cross-functional teams, conducting exploratory data analysis, developing machine learning models, and preparing data for analysis.
  • The role requires evaluating model results and communicating insights to both technical and non-technical audiences.
  • The Data Scientist will stay updated on advancements in AI, machine learning, and cloud technologies.
  • Knowledge of AWS and GCP administration and maintenance is essential for this position.
  • The role is 100% remote, but candidates must be located in Serbia.

Requirements:

  • A Master's degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience is required.
  • Strong experience in AI and machine learning techniques, including model development, training, and evaluation is necessary.
  • Proficiency in programming languages such as Python, R, and SQL is required.
  • Experience building AI/ML solutions in both GCP and AWS is essential.
  • Knowledge of AWS and GCP administration and maintenance, including resource provisioning, security configuration, and performance optimization is required.
  • Excellent communication and collaboration skills are necessary.
  • The ability to work independently and as part of a team is essential.

Benefits:

  • The position offers a high-impact role at a growing SaaS company that values personal growth, accountability, and teamwork.
  • Employees will be part of a culture of open collaboration and problem-solving.
  • Competitive pay is provided for the role.
  • The position allows for 100% remote work, promoting flexibility in the work environment.