Data Scientist – Machine Learning

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🕒 July 22

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Aspire, Jordan

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Aspire is reimagining and redefining what being a technology partner in the region means. With a commitment to exceeding expectations and providing exceptional quality work, Aspire consists of a group of technology experts with diverse backgrounds and expertise. The company offers a wide range of digital consulting and technology services, including digital strategy, automation, and cybersecurity solutions, while also focusing on social responsibility initiatives. Aspire serves various sectors such as financial services, healthcare, media, e-commerce, and retail, positioning itself as a trusted digital partner across the MENA region and the US.

📋 Description

• Develop, deploy, and maintain production machine learning models. • Perform exploratory data analysis and feature engineering to extract actionable insights. • Build and improve data pipelines that support ML workflows and automation. • Collaborate with engineering and business stakeholders to deliver scalable ML solutions. • Contribute to AI/LLM-based capabilities where applicable to enhance product offerings. • Monitor and optimize model performance in production environments (not only notebook-based development). • Document all procedures, configurations, and changes in a clear, auditable manner.

🎯 Requirements

• 2+ years of experience building and maintaining production machine learning models. • Strong Python programming skills. • Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines. • Experience deploying and monitoring ML models in production (not only notebook-based development). • Advanced SQL. • Git/version control. • Ability to work independently in production environments. • Experience with MLOps tools (MLflow, Airflow, dbt, or similar). • Snowflake. • Marketing, growth, experimentation, or causal inference experience. • Experience with LLMs or AI agents. • Agile development practices. • Experience building scalable ML solutions in enterprise environments. • Familiarity with cloud-based ML platforms and production deployment best practices. • Strong communication skills and ability to work with cross-functional teams. • Familiarity with US time zones (PST to EST) and remote collaboration workflows.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities • Gain global exposure by working on products with international teams and clients. • Attend virtual and in-person international technology conferences to expand your knowledge and network.