Summary of Role: We are seeking a highly skilled and experienced Industrial Data Scientist with expertise in Python and AWS. As an Industrial Data Scientist, you will be responsible for analyzing and interpreting complex industrial data sets to drive data-driven decision-making and optimize industrial processes. Your role will involve developing machine learning models, designing, and implementing data pipelines, and collaborating with cross-functional teams to extract valuable insights from data. Responsibilities / Duties: \xc2\xb7 Analyze Industrial Data: Utilize statistical analysis and machine learning techniques to extract meaningful insights from large and complex industrial datasets. \xc2\xb7 Develop Machine Learning Models: Design, develop, and deploy predictive and prescriptive machine learning models to optimize industrial processes and improve operational efficiency. \xc2\xb7 Design and Implement Data Pipelines: Create robust and scalable data pipelines to collect, preprocess, and transform industrial data for analysis and modeling purposes. \xc2\xb7 Collaborate with Cross-functional Teams: Work closely with engineers, domain experts, and stakeholders to understand industrial processes, identify data requirements, and align data science initiatives with business objectives. \xc2\xb7 Data Visualization and Reporting: Communicate findings and insights effectively through data visualizations and reports, enabling stakeholders to make informed decisions. \xc2\xb7 Ensure Data Security and Compliance: Implement best practices for data security, privacy, and regulatory compliance, especially when working with sensitive industrial data. \xc2\xb7 Stay Up-to-date with Industry Trends. Continuously learn and explore new tools, techniques, and advancements in the fields of data science, machine learning, and industrial automation. Skills / Qualifications: \xc2\xb7 3+ Years of data analysis experience with Python \xc2\xb7 ML experience \xc2\xb7 Industrial experience and/or a degree in an engineering discipline (ideally, Aerospace or Mechanical). Experience in a few different companies - so that there is exposure to different ways of working with data. \xc2\xb7 Strong Python Programming Skills: Proficiency in Python programming language for data manipulation, analysis, and model development. \xc2\xb7 Data Science and Machine Learning: Solid understanding of statistical analysis, machine learning algorithms, and their applications in industrial settings. \xc2\xb7 Data Engineering: Familiarity with data engineering principles, including data preprocessing, feature engineering, and data pipeline design. \xc2\xb7 Industrial Domain Knowledge: Knowledge of industrial processes, manufacturing systems, and relevant data sources is preferred. \xc2\xb7 Communication and Collaboration: Excellent communication skills to effectively collaborate with cross-functional teams, present findings, and explain complex concepts to non-technical stakeholders. \xc2\xb7 Analytical and Problem-solving Skills: Strong analytical thinking and problem-solving abilities to tackle complex industrial challenges using data-driven approaches. \xc2\xb7 Continuous Learning: A passion for staying updated with the latest advancements in data science, machine learning, and industrial automation. For further details of the company, visit the link below: https://www.assetintegrityengineering.com/ Job Type: Full-time Application Question(s):

• Do you have AWS experience?

Experience:

• Data Analysis with Python: 4 years (Required)
• ML: 3 years (Required)