SD Solutions

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.

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