Informatica MDM Architect/SME

POSITION Informatica MDM Architect/SME

LOCATION Remote

DURATION 6+ months CTH

PAY RATE Open on w2

INTERVIEW TYPE Video

REQUIRED SKILLS

• Needs to be an EXPERT in Informatica MDM
• SAP Experience

KNOWLEDGE AND SKILLS:

• Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
• Demonstrates a strong capacity for learning and assimilating new techniques, tools and methods.
• Comfortable with preparing or collaborating on presentation decks as well as delivering final stakeholder presentations as primary or supporting presenter.
• Has knowledge and can quickly ramp-up and leverage cloud-based cognitive service APIs such as Microsoft Azure, AWS and/or Google Cloud Platform.
• Is passionate about your work, but willing to support several projects at one time and can accept reprioritization as necessary.
• Comfortable delivering within an agile program.

Years of Experience

• 5+ years experience with any of the following programming languages: R, Python, Java, C++, C#, Scala, SAS, MATLAB or similar scripting languages. Similar experience and proficiency with SQL are required.
• 5+ years experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision
• 5+ years designing experiments and researching novel solutions beyond established literature or documentation

Desired Skills

• Experience with data mining processes (SEMMA, CRISP-DM), data preparation, consolidation, imputation, transformation, interaction, variable reduction, modeling, maintenance, and post-mortem analysis.
• Experience with statistical methods such t-test of means, Tukey-HSD tests of means on groups, ANOVA, Proportion tests, data normalization and scaling, univariate and multivariate outlier detection.
• Experience with modeling techniques such as linear models, decision trees, neural networks, k-nearest-neighbor, support vector machines, cluster analyses, and ensembling methods.
• Strong Oral and Written skills.
• Experience with Agile Software Development.
• Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM and management sciences/statistics highly desired.
• Experience with Deep Learning tools and packages such as TensorFlow and Pytorch.
• Experience with frameworks and languages designed for big-data analysis, including Hadoop, Spark, Hive, and Pig.
• Experience with cloud computing frameworks or APIs such as Microsoft Azure, Amazon Web Services and Google Cloud Platform.
• Experience with developing, releasing, and maintaining machine-learning projects across the entire-ML lifecycle through sandboxed environments, logging, unit-testing, and including other software engineering best-practices.
• Must have published articles in a peer-reviewed scientific or academic journal, or filed patents in the fields of data science, artificial intelligence or machine learning.