Minimum Requirementsbr Bachelors degree in Computer Science, Computer Engineering, or related field followed by 10 years of progressive, postbaccalaureate experience in the job offered or in a technical manageranalystrelated occupation.br Must be available to work on projects at various, unanticipated sites within commuting distance of Slalom, LLCs Southlake, Texas office. Some telecommuting is permitted.br br Special Requirementsbr br Position requires at least 10 years of experience in each of the following skillsbr br 1. Experience using statistical and machine learning techniques such as kNN, Naive Bayes, SVM, Decision Trees, Regression on platforms like R, Python and SAS to build forecasting, predictive, and natural language processing models.br 2. Experience using data science and analysis toolkits, such as pandas, numpy, scikitlearn, nltk, pyspark, etc., to perform exploratory analyses.br 3. Experience advising on data strategy for enterprise to clients to assess levers customer needs, opportunities, pain points that can help further the maturity of business units data driven decision making goals.br 4. Experience using query languages such as SQL and creating extraction pipelines using distributed datacomputing tools like Hadoop, Hive, Spark, etc. to enable efficient data extraction, data flow and data foundation development.br 5. Experience using business intelligence tools including Tableau and Power BI to design and build advanced data visualizations.br 6. Experience translating business requirements into well architected solutions that best leverage the data platforms, particularly cloud technologies like AWS, Azure and GCP.br 7. Experience conducting training and workshops for clients on best practices in data science, AIML for building capability in advanced problem solving, and upskilling clients to develop Citizen Data Scientists.br 8. Experience with actively driving and managing sales pipeline by partnering with Sales Executives and Account leads, acting as Sales Solution Lead and aiding in the creation of pricing models, proposals, and SOWs, and presenting proposals to prospective clients.br 9. Experience building and managing the Data Analytics capability, including hiring team members, managing team member performance and driving solutions and offerings and creating and managing financial forecasts for the Data Analytics capability.
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