Competera

Benefits:

• Remote-first ideology

• Flexible working hours

• Regular performance and compensation reviews

• Recurrent 1-1s and measurable OKRs

• In-depth onboarding with a clear success track Competera covers 70% of your training/course fee 20 vacation days, 15 days off, and up to one week of paid Christmas holidays 20 business days of sick leave Partial medical insurance coverage

Experience Requirements:

• Basic to intermediate proficiency in Linux/Unix systems

• Familiarity with the command line for day-to-day system administration tasks

• Experience using Grafana (one of Grafana/Zabbix/Nagios/etc) for monitoring system performance and infrastructure

• Understanding of setting up and managing dashboards to track metrics and log data

• Some practical experience with one of cloud consoles (e.g., AWS, GoogleCloud, Azure) for basic server management tasks Ability to configure domains, manage DNS records, and troubleshoot common hosting issues

Responsibilities:

• Be primarily responsible for basic system management, monitoring, and first-line technical support for server and infrastructure-related issues

• Provide first-line technical support just to internal, handling basic troubleshooting of server and system-related issues

• Logging, categorizing, and escalating issues as needed to more advanced support teams

• Handling day-to-day support tasks and user requests, providing timely resolutions, and documenting solutions for future reference

Benefits:

• Remote-first ideology

• Flexible working hours

• Regular performance and compensation reviews

• Recurrent 1-1s and measurable OKRs

• In-depth onboarding with a clear success track Competera covers 70% of your training/course fee 20 vacation days, 15 days off, and up to one week of paid Christmas holidays 20 business days of sick leave Partial medical insurance coverage

Experience Requirements:

• Strong project management experience in software development

• Familiarity with building transparent processes for service delivery

• Skills in stakeholder management

• Participation in hiring and forming new teams with technical roles

• Experience with tools: Jira, Jira SD, G Suite

Other Requirements:

• Advanced level of English proficiency + business communication skills

• Advanced level of Ukrainian proficiency + business communication skills

Responsibilities:

• Serve as the main point of contact for live customers

• Oversee and improve the delivery of Competera services to live customers

• Lead technical support team

• Manage change requests for live customers

• Investigate incidents not related to the RnD part, facilitate the rest Suggest improvements in process/ product to make tasks repeatable and scalable Track and upkeep service SLAs

Benefits:

• Remote-first ideology

• Flexible working hours

• Regular performance and compensation reviews

• Recurrent 1-1s and measurable OKRs

• In-depth onboarding with a clear success track Competera covers 70% of your training/course fee 20 vacation days, 15 days off, and up to one week of paid Christmas holidays 20 business days of sick leave Partial medical insurance coverage We reimburse the cost of coworking

Experience Requirements:

• Strong knowledge and extensive hands-on experience with at least one of the following: - Bayesian Models and Probabilistic Programming (e.g., PyMC, Stan, TensorFlow Probability). - Reinforcement Learning (RL) Models. - Causal Models and causal inference frameworks.

• Minimum 5 years of experience in data science or related field

Other Requirements:

• Proficiency in SQL

• Strong Python skills

• Proficiency in scientific Python toolkit including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch

• Familiarity with Time Series Forecasting approaches

• Experience in statistical testing methodologies, including A/B testing

• Experience working with tabular and mixed (multimodal) data (e.g., tabular data combined with text, audio, or images) for at least 3 years

• English - upper-intermediate +

Responsibilities:

• Lead the integration and application of causal inference frameworks to derive actionable insights and drive data-driven decision-making

• Design, develop, and deploy models utilizing Bayesian probabilistic programming, Reinforcement Learning (RL), or Causal Models

• Analyze retail data to derive insights and inform pricing strategies

• Develop prototypes of algorithms for pricing and demand prediction

• Test and monitor algorithm performance, iterating as necessary