Data Scientist

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

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.
P a g e 3 | 3
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