Solution Architect- Data Scientist

Purpose of the Role

· Design and develop advanced data science and analytics solutions for various IIOT platforms

· Enable data-driven decision-making through statistical analysis, predictive models, and scalable analytical algorithms

· Transform large-scale industrial and telemetry data into actionable business insights

· Support long-term AI/ML and analytics strategy within TPD digital initiatives

Key Tasks & Activities

· Develop scalable analytical models and performance-critical algorithms using Python

· Perform quantitative statistical analysis on large-scale industrial and telemetry datasets

· Design and implement data science workflows using Python, Spark, and Databricks

· Build predictive analytics and data-driven insights for PumpTest and IIoT solutions

· Collaborate with engineering, analytics, and product teams on data-driven use cases

· Contribute to architecture decisions for analytics and data science platforms

· Ensure reliability, maintainability, and performance of analytical solutions

· Support data modeling, transformation, and feature engineering processes

· Drive automation, monitoring, and continuous improvement of analytical workflows

· Contribute to reusable frameworks and best practices for data science initiatives

Accountability

· Own development and quality of analytical models and algorithms

· Ensure scalability and accuracy of data science solutions

· Support business decision-making through reliable insights and predictive analytics

· Drive alignment between business needs and data-driven solutions

· Contribute to long-term analytics and AI/ML platform strategy

Technical / Professional Requirements

• ·        Bachelor’s or Master’s degree in Mathematics, Data Science, Statistics, Computer Science, or related field
• ·        Strong theoretical knowledge in mathematical statistics and data science
• ·        Practical experience in quantitative statistical analysis of large datasets
• ·        Strong programming expertise in Python
• ·        Experience developing scalable and performance-critical algorithms
• ·        Hands-on experience with Python ecosystem tools: Jupyter, pandas, NumPy, SciPy, scikit-learn
• ·        Experience with Apache Spark and Databricks is preferred
• ·        Understanding of data pipelines, data lakes, and cloud-based analytics platforms
• ·        Familiarity with CI/CD and automation practices in analytics workflows
• ·        Knowledge of real-time or IIoT data processing is an advantage
• Personal Competencies
• ·        Disciplined and sustainable coding practices

· Strong analytical and problem-solving skills

• ·        Precise, structured, and detail-oriented working style
• ·        Self-motivated with strong learning agility and hands-on mentality

· Strong communication and stakeholder collaboration skills

• ·        Team-oriented mindset and ability to work cross-functionally
• ·        Very good English communication skills (written and spoken)
• Performance Criteria
• ·        Accuracy and reliability of analytical models
• ·        Scalability and performance of data science solutions
• ·        Timely delivery of analytics initiatives
• ·        Quality and maintainability of code and algorithms
• ·        Business value generated through insights and predictive analytics
• ·        Collaboration effectiveness across teams