Black Books Data Science team works to solve our customers most pressing challenges by enabling them to harness the power of data for insightful decisions. The position represents an exciting opportunity to be part of a high growth team, driving innovative, and assist in developing next generation data solutions in automotive industry. In this hands-on position, the Data Scientist will work very closely with the automotive analytics team and apply knowledge of Data Science to design and develop enterprise analytic solutions which are focused on specific auto industry questions for Black Book customers. The Data Scientist will define best practices in the use of advanced analytics and therefore must possess the ability to understand and document business processes and influence process improvement. The Data Scientist will also incorporate emerging technologies to evaluate new analytic possibilities. The individual filling this role will be expected to hit the ground running on the delivery of advanced analytic solutions. In this role, you will be expected to design and develop proof-of-concept solutions in support of presales activities as well as support the development of standardized analytic offerings across multiple companies. Main tasks and responsibilities: Work closely with the automotive analytics team to ensure understanding of automotive data Defines analytic strategies to meet the demands of business requirements Defines the technical requirements of the analytic solutions Defines the data requirements of the analytic solution Conducts sophisticated analyses and build models, as required Translates data science results into clear business focused deliverables for decision makers Leads project plans and works with Application Developers to deploy models into operational systems Integrates advanced analytics into end-to-end business intelligence solutions and operational business processes Required Qualifications 3 years of professional experience and a Master of Science or equivalent degree in applied statistics, mathematics, data science or related area of study 3 years use of Python for machine learning and large-scale data analysis 3 years of using machine learning methodologies such as regression, decision trees, time series analysis, NLP, Expert use of SQL and relational databases Experience with Hadoop / Spark, Map/Reduce, Hive or equivalent Excellent communication and presentation skills Preferred Qualification Extensive experience working with IT Development teams to implement analytic application/solution development. Refers to the implementation of repeatable analytic solutions which encompass all phases of the software development cycle beyond model development. Experience in automotive industries

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