Data Scientist

Ascendion; Gdynia; On-site; PLN 120,000 - 180,000; Full time

Job summary

Ascendion is seeking a Data Scientist to design, build and deploy scalable data and AI solutions that support Real Time Content Operations. This role blends data science, data engineering and automation to deliver production-ready datasets, ETL pipelines and AI-enabled workflows.

You will work with business, product, engineering and operations teams across regions from our Gdynia office to improve data quality, efficiency and client outcomes while mentoring content operations teammates and

Qualifications

• Experience developing ETL processes, data pipelines and data integration solutions.
• Advanced Python programming skills for data engineering, analytics and automation.
• Strong SQL skills and experience designing data models and transformation workflows.
• Experience with Azure data and AI services, including Power BI and Power Automate.
• Experience designing and optimising large-scale data processing solutions.
• Knowledge of data quality controls, monitoring frameworks and operational reporting.
• Experience deploying AI and automation solutions into production environments.
• Strong understanding of API integration, structured and unstructured data processing, and enterprise data architecture.
• Experience working within centric cloud environments and modern data platforms.

Responsibilities

• Designing, developing and maintaining scalable ETL and data integration pipelines.
• Building and deploying AI, machine learning and automation solutions.
• Designing and implementing data models, transformation logic and quality controls across multiple datasets and systems.
• Leading the delivery of data science initiatives from concept through production implementation.
• Collaborating with engineering teams to establish robust, scalable and maintainable production environments.
• Driving improvements in data governance, lineage, monitoring and operational resilience.
• Working with stakeholders to identify opportunities for automation and process optimisation.
• Integrating data from multiple sources through APIs, databases and enterprise applications.
• Providing technical guidance and mentoring to content operations team.
• Supporting the evaluation and adoption of emerging AI, automation and platform capabilities.
• Producing documentation, technical designs and implementation standards.
• Communicating technical solutions and business impact to senior stakeholders and non-technical audiences.

Skills

ETL pipelines

Python programming

SQL

Azure data & AI services

Data modeling

API integration

Mentoring

Tools

Power BI

Power Automate

Azure Data Factory

Job description

We are looking for Data Scientist to design, build and deploy scalable data and AI solutions that support the transformation of Real Time Content Operations. This role combines data science, data engineering and automation, with a strong focus on building reliable ETL pipelines, data models and AI-enabled workflows using the technology ecosystem. You will work closely with business, product, engineering and operations teams to deliver production-ready solutions that improve data quality, operational efficiency, scalability and client outcomes.

What You'll Be Doing

• Designing, developing and maintaining scalable ETL and data integration pipelines to support data acquisition, transformation and delivery.
• Building and deploying AI, machine learning and automation solutions that improve operational processes and data quality.
• Designing and implementing data models, transformation logic and quality controls across multiple datasets and systems.
• Leading the delivery of data science initiatives from concept through production implementation.
• Collaborating with engineering teams to establish robust, scalable and maintainable production environments.
• Driving improvements in data governance, lineage, monitoring and operational resilience.
• Working with stakeholders to identify opportunities for automation and process optimisation.
• Integrating data from multiple sources through APIs, databases and enterprise applications.
• Providing technical guidance and mentoring to content operations team.
• Supporting the evaluation and adoption of emerging AI, automation and platform capabilities.
• Producing documentation, technical designs and implementation standards.
• Communicating technical solutions and business impact to senior stakeholders and non-technical audiences.

Technical Skills

• Experience developing ETL processes, data pipelines and data integration solutions.
• Advanced Python programming skills for data engineering, analytics and automation.
• Strong SQL skills and experience designing data models and transformation workflows.
• Experience with Azure data and AI services, including:
• Power BI
• Power Automate
• Experience designing and optimising large-scale data processing solutions.
• Knowledge of data quality controls, monitoring frameworks and operational reporting.
• Experience deploying AI and automation solutions into production environments.
• Strong understanding of API integration, structured and unstructured data processing, and enterprise data architecture.
• Experience working within centric cloud environments and modern data platforms.

About Us:

Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. For more information, please go to www.ascendion.com

With Ascendion (www.ascendion.com), you:

• Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering.
• At Ascendion you have high chances of project extension or redeployment to other clients.
• Additionally, you can also share CV of anyone you know. We have a referral policy in place