Important automotive consultancy company is looking for a Data Scientist Senior Engineerto join our team!Able to do: Critical Thinking:Able to influence the strategic direction of the company by findingopportunities in large, rich data sets and crafting and implementing data drivenstrategies that fuel growth including cost savings, revenue, and profit.Modeling:Assessments, and evaluating impacts of missing/unusable data, design andselect features, develop, and implement statistical/predictive models using edgealgorithms on diverse sources of data and testing and validation of models.Analytics: GCP to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into business strategies or analytics software.Data Engineering:Importante empresa with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, data qualityVisualization: The minimum requirements we seek: Master?s degree in Computer Science, Mathematics, Physics, Electrical Engineering or related field or a combination of education and equivalent Importante empresa.3+ years of Importante empresa of practicing3+ years? Importante empresa with big data technologies such as Azure Data Lake, GCP Big Query,Databricks, Spark, Hadoop, Kafka, SQL and NO-SQL databases, etc.Our preferred qualifications: PhD degree in Computer Science, Mathematics, Physics, Electrical Engineering or related field or a combination of education and equivalent Importante empresa.Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development.Demonstrated expertise in commercial tools such as Alteryx, Qlikview / Qliksense, Tableau or PowerBI acquired through training and/or implementation on projectsFamiliarity working with Automotive OEM/ Ford connected vehicle data & relevant infrastructure.Self-motivated with excellent verbal and written skills.Highly credible in organizational, time management, decision making and problem- solving skills.Familiarity working with big data to develop scalable, production-ready solutions.Working location and schedule: Monday to Friday for at least 40 hours per weekNaucalpan, Estado de MéxicoThe job is hybrid, part home office and part in office