Remote à United States

Data Engineer / Data Scientist (Senior)

Location: Menlyn, hybrid model

Job Type: Contract (June 2025 – December 2027)

About the Role

We're seeking a Senior Data Engineer / Data Scientist with deep mathematical expertise and extensive experience solving complex business problems using advanced machine learning models. If you're passionate about data-driven innovation and thrive in fast-paced, high-performance environments, this is your opportunity to shape global IT solutions with real business impact.

Your Responsibilities

• Develop and implement analytical algorithms for mixed integer linear programming problems
• Lead large-scale data calculations in production environments
• Optimize and scale machine learning models and frameworks
• Extract actionable insights using advanced statistical, mining, and algorithmic methods
• Drive strategy by identifying new business opportunities through data
• Architect and deploy scalable analytics systems
• Interpret statistical models and integrate findings into complex business processes
• Gather requirements, conduct architectural design, and deliver final data science products
• Support full lifecycle development and deployment of Big Data solutions
• Collaborate across teams to integrate analytics into Big Data clusters
• Work with Hadoop ecosystem components (Spark, Hive, Sqoop, etc.) and configure related infrastructure

What You Bring

Essential Skills:

• Strong foundation in mathematics, analytics, and problem-solving
• Extensive experience in data science and machine learning
• Ability to code in Python and R
• General AWS experience in the Big Data/Data Science context
• Comfort with large-scale parallel computing environments

Advantageous Skills:

• Hands-on experience with Hadoop ecosystem tools: Spark, Hive, Sqoop, Pig, HDFS, Cassandra, etc.
• Working knowledge of data pipelines: ETL, standardisation, and validation models

Required Qualifications/Experience:

• 10+ years in data science roles within fast-paced business settings
• Extensive experience leading teams and driving business impact
• Master’s degree in a relevant field (e.g., Data Engineering, Statistics, Mathematical Modelling)
• PhD in a related field (preferred but not mandatory)

What We Offer You

• Work on cutting-edge global IT systems
• Flexible working hours (1,960 hours/year model)
• Remote/on-site flexibility
• High work-life balance and modern, state-of-the-art office environments
• Vehicle leasing/buying promotions (T&Cs apply)
• Agile Working Model and dynamic global team collaboration
• A fast-paced, high-energy culture that values innovation

Ready to take the next step in your data science leadership journey?

Apply now and help drive the future of intelligent business solutions.

Send CVs to charlenek@osourceint.com