Data Engineer
Austin, TX
Relevant skills include:
• Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python.
• Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc.
• Experience with Visualization tools such as Tableau, Kepler.gl, etc.
• Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
• Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
• Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes.
What makes candidates stand-out are skills such as:
• Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures.
• Experience with remote sensing, GIS tools, and satellite imagery analysis.
• Experience with CVML
• Experience with advanced AI techniques and tools.
• Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
• Familiarity with Distributed Datasets
• Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
• Additional experience with other languages such as Java, JavaScript, Scala, etc.
• Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.
• Experience with model validation, measuring model bias, measuring model drift, etc.
• Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.
• Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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