What we offer:

Analyze and interpret complex IoT and mobile network partner data to uncover trends, patterns, and insights that drive business decisions.
• Develop and maintain data pipelines and ETL processes to ensure efficient data collection, transformation, and storage.
• Design, develop, and deploy interactive data visualizations and web applications using Plotly Dash.
• Collaborate with equipment development SMEs and operations teams to understand their data needs and deliver customized solutions.
• Use statistical analysis to mine large datasets to generate insights.
• Implement machine learning algorithms and predictive models to enhance predictive maintenance, quality control, and process optimization.
• Ensure data integrity, accuracy, and security across all data systems and applications.
• Develop and maintain REST APIs in Python to facilitate data integration and access.
• Stay updated with the latest trends and advancements in AI, machine learning, and data science to continuously improve our capabilities

Tasks and Qualifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• 2-4 years of experience in data science, with a focus on IoT data.
• Intermediate level data engineering skills, including experience with ETL processes, SQL, and data warehousing.
• Proficiency in Python and libraries such as Pandas, NumPy, and scikit-learn.
• Experience with Plotly Dash for creating interactive data visualizations and web applications.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch) is a must.
• Experience with PySpark (and Databricks is a plus) for big data processing and analytics.
• Experience working with REST APIs in Python.
• Experience with MLflow for managing machine learning experiments is a plus.
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• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders