Offer summary

Qualifications:

Bachelor's or higher degree in Data Science, Computer Science, or related field., At least 4 years of experience in data analysis or data science roles., Proficiency in Python, SQL, and Excel for data processing and reporting., Experience with Google Cloud Platform, especially BigQuery, and containerization using Docker..

Key responsibilities:

Analyze large datasets to extract insights using Python and SQL.

Develop and maintain API-based data integration systems.

Work with GCP BigQuery for data warehousing and complex queries.

Collaborate with teams to translate business needs into data solutions.

Job description

On behalf of NDA, Post-Production Ad AI , SD Solutions is looking for a talented Data science to join our team. In this role, you will work closely with large, complex datasets to uncover actionable insights and help shape data-driven decisions across the organization. You’ll take ownership of data pipelines, develop APIs, and work in a collaborative, sprint-based environment.

We’re looking for someone with a builder’s mindset — eager to roll up their sleeves, tackle real-world messy data, and transform complexity into clear, meaningful outcomes.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

Analyze and process large datasets using Python (NumPy, pandas) and SQL.
Design, develop, and maintain API-based systems for data integration and delivery.
Use Google Cloud Platform (GCP), specifically BigQuery, for data warehousing and advanced querying.
Work with spreadsheets (Excel) to support ad-hoc analysis and reporting.
Utilize Docker containers for deployment and reproducibility.
Collaborate with cross-functional teams to translate business questions into data requirements and actionable insights.
Manage tasks and deliverables within a sprint-based workflow, ensuring timely delivery and clear documentation.

Requirements:

4+ years of hands-on experience as a Data Analyst, Data Scientist, or in a similar data-focused role.
Proven experience working with large-scale, real-world datasets.
Strong proficiency in Python, specifically with NumPy, pandas, and building API-based systems.
Solid experience with Google Cloud Platform (GCP), particularly BigQuery.
Advanced knowledge of SQL for data querying and transformation.
Proficiency in Excel for data analysis and reporting.
Experience using Docker for development and deployment environments.
A proactive, curious mindset with a passion for digging deep into data to uncover insights.
Comfortable working with incomplete or messy data and making sense of it.
Strong organizational and time management skills; ability to handle tasks and tickets in a sprint-based workflow.
Excellent communication skills; able to present complex findings in a clear and concise way.

Advantages:

Background in AdTech or previous experience working in a data-heavy environment.

About the company:

Our client is a fast-growing NDA, Post-Production Ad AI platform that automates creative optimization through machine learning. Their technology enables global brands to scale high-performing ads using data-driven automation, backed by top-tier investors and accelerators.

By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Required profile