Python Data Solutions Specialist-Temporary Position

We are seeking a highly motivated and skilled Python Data Solutions Specialist to join our team. This role will play a key part in supporting and scaling our data infrastructure, automating processes in data-labeling operation, and driving innovation through AI and analytics tools.
This is a temporary position for 8 month.
What will your job look like?
Working closely with operation teams, product managers, infrastructure teams.
Use statistical tools to achieve KPIs and business goals of operation projects.
Develop automation solutions for various operational processes
Support and implement GenAI-based workflows and tools
Troubleshoot and resolve data mismatches across systems
Conduct operational analysis for data-labeling, data products and pipelines
Integrate new tools and features into our database ecosystem
All you need is:
BSc. in Computer Science / statistics / information systems or related fields
2+ years of experience as data analyst or similar job
Strong proficiency in Python for scripting and automation
Solid experience with SQL for data querying and manipulation
Experience with code writing and debugging in production systems
Experience with big data frameworks & solutions (Spark/Presto/Athena/Trino or similar)
Fluent English
Familiarity with Linux environments - Advantage
Experience working with GenAI tools or frameworks - Advantage
Background in data engineering or operational data analysis - Advantage
Familiarity with data pipelines and ETL processes - Advantage

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.