Data Scientist – Job Descirption

• Support development of algorithms that detect and interpret changes in system behavior and predict timing of future maintenance needs.
• Have atleast 3-5 years of data science experience.
• Apply statical-based and data driven methods to optimize algorithm performance
• Develop tools to automate cleaning, manipulation, and analysis of large data sets using languages such as Python, SQL.
• Support root cause analysis of in-service issues and incorporate lessons learned into improved design standards.
• Proficiency in manipulating and analyzing large, complex, multi-dimensional data sets
• Naturally inquisitive and skilled in exploratory data analysis, formulating and testing hypotheses.
• Results-oriented and motivated to provide solutions with measurable benefit to our customer and business.
• Experience with text mining tools (NLP – Natural Language Processiong) and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection.
• Ability to communicate with clarity and precision.
• Use Data Analysis Metrics to indicate the Quality Health of an Engineering Development Project
• Use Data visualization to determine and present metrics is clear, concise dashboards for all levels of management to understand the meaning and make data-driven decisions
• Create AI/ML prototypes for use cases requiring identifying entity/objects, determining object association, object disambiguation, anomaly detection, state estimations, etc.
• Develop and maintain data models (both physical and logical)
• Perform extraction, transform, and load (ETL) tasks related to the different modalities and algorithms being applied. This data ETL includes identifying the data’s relevant metadata to ensure consistency, quality, accuracy, integrity, and information assurance and security.
• Conduct anomaly detection using various AI/ML techniques
• Use algorithms to identify complex patterns across multiple departments.
• Increase the efficiency and quality data alignment and fusion.
• Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms.
• Configure and program prototypes Jupyter notebooks with ML solutions.
• Setup and use AWS instances to train and operate AI/ML models
• Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch, etc.
• Ability to apply these frameworks to real problems in the ‘time -series’ domain
• Practical experience with statistical analysis and Survival probabilities.
• Expert software development skills lifecycle including developing and maintaining good production quality code
• Hands-on Software Development Skills (Python-Preferred)
• Experience or educational courses/projects in Machine Learning, and/or Text
• Hands-on experience with prototype development
• Hands-on experience with intelligent systems and machine learning.
• Experience with interpretability of deep learning models
• Big Data Skills (Hadoop or Spark) will be preferable                                                                                                 

Skills & Experience

Data Science, Machine Learning, Machine Learning Algorithms, Power Bi, Predictive Analytics, Python, SQL, Statistical Machine Learning, Tableau Desktop