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Senior Data Scientist

V2Soft

Job Description

V2Soft (www.v2soft.com) 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 customer'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.

We have an immediate requirement for a Senior Data Scientist  with our client in Auburn Hills, MI.

Required Skills:

Purpose and Need:


The Senior 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 and machine learning and AI based projects. 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 little to no technical guidance. They will also be expected to mentor less technical data resources to help grow our data literacy as an organization

Subject Matter Expertise:
  • A bachelor'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.
  • Candidates should have 5+ years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
  • Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
  • Knowledge 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.
  • A specialization in text analytics, image recognition, graph analysis or other specialized Client techniques such as deep learning, etc., is preferred.
  • Experience 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.
  • Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
  • They must demonstrate the ability to work in diverse, cross-functional teams.
  • Should be confident, energetic self-starters, with strong moderation and communication skills.
Anticipated Skill Sets:

Problem Analysis and Project Management:
  • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
  • Identify data-driven/Client business opportunities
  • Collaborate across the business to understand IT and business constraints
  • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
Data Exploration and Preparation:
  • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
  • Generate and test hypotheses about the underlying mechanics of the business process.
  • Network with domain experts to better understand the business mechanics that generated the data.
Data Collection and Integration:
  • Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
  • Create data pipelines and assets the enable more efficiency and repeatability of data science activities.
Data Exploration and Preparation:
  • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
Machine Learning and Statistical Modelling:
  • Apply various Client and advanced analytics techniques to perform classification or prediction tasks
  • Integrate domain knowledge into the Client solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
  • Testing of Client models, such as cross-validation, A/B testing, bias and fairness
Operationalization:
  • Collaborate with Client operations (MLOps), data engineers, and IT to evaluate and implement Client deployment options
  • (Help to) integrate model performance management tools into the current business infrastructure
  • (Help to) implement champion/challenger test (A/B tests) on production systems
  • Continuously monitor execution and health of production Client models
  • Establish best practices around Client production infrastructure
Other Responsibilities:
  • Train other business and IT staff on basic data science principles and techniques
  • Train peers on specialist data science topics
  • Promote collaboration with the data science COE within the organization.
V2Soft Offers market-competitive wages and excellent benefits. https://www.v2soft.com/careers/benefits
  • Medical, Dental and Vision benefits, which start immediately upon hire.        
  • 401K Retirement Savings Plan
  • 10 Paid Holidays
  • 10 Paid Vacation Days annually
  • Flexible spending
  • Long-term and Short-term disability insurance
  • Life and AD&D insurance
V2Soft is an Equal Opportunity Employer (EOE).  

Job Requirements

 
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Job Snapshot

Location US-MI-Lake Angelus
Employment Type Contractor
Pay Type Hour
Pay Rate N/A
Store Type IT & Technical

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Terms & Conditions
Snapshot
V2Soft
Company:
US-MI-Lake Angelus
Location:
Contractor
Employment Type:
Hour
Pay Type:
N/A
Pay Rate:
IT & Technical
Store Type:

Job Description

V2Soft (www.v2soft.com) 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 customer'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.

We have an immediate requirement for a Senior Data Scientist  with our client in Auburn Hills, MI.

Required Skills:

Purpose and Need:


The Senior 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 and machine learning and AI based projects. 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 little to no technical guidance. They will also be expected to mentor less technical data resources to help grow our data literacy as an organization

Subject Matter Expertise:
  • A bachelor'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.
  • Candidates should have 5+ years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
  • Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
  • Knowledge 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.
  • A specialization in text analytics, image recognition, graph analysis or other specialized Client techniques such as deep learning, etc., is preferred.
  • Experience 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.
  • Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
  • They must demonstrate the ability to work in diverse, cross-functional teams.
  • Should be confident, energetic self-starters, with strong moderation and communication skills.
Anticipated Skill Sets:

Problem Analysis and Project Management:
  • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
  • Identify data-driven/Client business opportunities
  • Collaborate across the business to understand IT and business constraints
  • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
Data Exploration and Preparation:
  • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
  • Generate and test hypotheses about the underlying mechanics of the business process.
  • Network with domain experts to better understand the business mechanics that generated the data.
Data Collection and Integration:
  • Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
  • Create data pipelines and assets the enable more efficiency and repeatability of data science activities.
Data Exploration and Preparation:
  • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
Machine Learning and Statistical Modelling:
  • Apply various Client and advanced analytics techniques to perform classification or prediction tasks
  • Integrate domain knowledge into the Client solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
  • Testing of Client models, such as cross-validation, A/B testing, bias and fairness
Operationalization:
  • Collaborate with Client operations (MLOps), data engineers, and IT to evaluate and implement Client deployment options
  • (Help to) integrate model performance management tools into the current business infrastructure
  • (Help to) implement champion/challenger test (A/B tests) on production systems
  • Continuously monitor execution and health of production Client models
  • Establish best practices around Client production infrastructure
Other Responsibilities:
  • Train other business and IT staff on basic data science principles and techniques
  • Train peers on specialist data science topics
  • Promote collaboration with the data science COE within the organization.
V2Soft Offers market-competitive wages and excellent benefits. https://www.v2soft.com/careers/benefits
  • Medical, Dental and Vision benefits, which start immediately upon hire.        
  • 401K Retirement Savings Plan
  • 10 Paid Holidays
  • 10 Paid Vacation Days annually
  • Flexible spending
  • Long-term and Short-term disability insurance
  • Life and AD&D insurance
V2Soft is an Equal Opportunity Employer (EOE).  

Job Requirements

 
Senior Data Scientist Apply now