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V2soft Inc. Data Scientist in Auburn Hills, Michigan

V2Soft (a href="http://www.v2soft.com"www.v2soft.com/a) is a global company, headquartered out of Bloomfield Hills, Michigan, with locations in Mexico, Italy, India, China and Germany. At V2Soft, our mission is to provide high performance technology solutions to solve real business problems. We become our customerrsquo;s true partner, enabling both parties to enjoy success. We are committed to promoting diversity in the workplace, and believe it has a positive effect on our company and the customers we serve. Job Description: Purpose and Need: The Customer Data Platform Data Scientist is a role within the Business Analytics Data Services department and reports through the CIO. They play a pivotal role in the planning, execution and delivery of data science, machine learning and AI based projects in relation to our Customer Data Platform Initiative. The bulk of the work will be in areas of data exploration and preparation, data collection and integration, machine learning (Client) and statistical modelling. It is expected that successful candidates will be able to perform their job duties with minimal technical guidance. Subject Matter Expertise: liA bachelor#39;s in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred./li liCandidates should have 3+ years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction./li liCoding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc./li liKnowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc./li liExperience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others./li liExperience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc./li liThey must demonstrate the ability to work in diverse, cross-functional teams./li liShould be confident, energetic self-starters, with strong moderation and communication skills./li /ul Anticipated Skill Sets: Problem Analysis and Project Management: liGuide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science/li liIdentify data-driven/Client business opportunities/li liCollaborate across the business to understand IT and business constraints/li liPrioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success/li /ul Data Exploration and Preparation: liApply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), princ

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