Data Scientist @ Auburn Hills, MI
azhar uddin
hope you are doing well,
we have an immediate openings for the below position, kindly let me know your interest with your updated resume and expected rate ASAP.
Note : Need Passport Number
Role : Data Scientist
Location : Auburn Hills, MI
Visa : GC / USC ONLY
Job Roles / Responsibilities:
The Data Scientist is a role in the Business Analytics & Data Services (BA) department. They will play a pivotal role in the planning, execution, and delivery of data science and machine learning-based projects. The bulk of the work will be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modeling and data pipe-lining and deployment.
Primary Responsibilities:
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/ML 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 ML and advanced analytics techniques to perform classification or prediction tasks. Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness
Operationalization: Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options (Help to) integrate model performance management tools into the current business infrastructure. (Help to) implement a champion/challenger test (A/B tests) on production systems. Continuously monitor the execution and health of production ML models. Establish best practices around ML production infrastructure
Basic Qualifications:
Bachelor’s degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field or equivalent work experience
Three years of relevant project experience in successfully launching, planning, executing data science projects
Coding knowledge and experience.
Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
Must be self-driven, curious and creative.
Must demonstrate the ability to work in diverse, cross-functional teams.
Confident, energetic self-starters, with strong moderation and communication skills.
The common question that gets asked in business is, 'why?' That's a good question, but an equally valid question is, 'why not?'
Thanks & Regards
Mohd Azhar uddin
4229 Lafayette Center Dr., Suite #1625, Chantilly, VA 20151
Tel: 703-831-8282 Ext. 2526, Fax : 703-439-2550,