Sr. Data Scientist

Machine Learning, Statistical and Data Mining Techniques, Python, Hadoop, Spark
Full Time
Travel not required

Job Description

Title: Sr. Data Scientist

Description: STG is a SEI CMMi Level 5 company with several Fortune 500 and State Government clients. STG has an opening for Sr. Data Scientist. This position is based in Auburn Hills, MI for a Fortune 500 Automotive Manufacturer. This position is expected to be long term. STG will provide immigration and permanent residency sponsorship assistance, if needed.

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 ML 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, 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/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 champion/challenger test (A/B tests) on production systems
  • Continuously monitor execution and health of production ML models
  • Establish best practices around ML production infrastructure

Resume Submittal: please email a word formatted resume to Shweta Huria at or contact at: 248.918.4720. In the subject line of the email please include: First and Last Name - Sr. Data Scientist (Auburn Hills, MI).

Corporate Information: Established in 1985, Systems Technology Group (STG) is a fast growing IT consulting and systems integration services firm. STG is a SEI CMMi Level 5 company with expertise in Application Development, Application Management, Web Services (SOA), Data Warehouse, Business Intelligence / Analytics, Wireless Solutions, Legacy migrations and Project Management. STG is proud that clients like Ford Motor Company, Sears Corporation, Chrysler, LLC, Mercedes Benz, United Health, General Motors, State of Texas, State of Michigan, State of Minnesota, State of Georgia, and others trust their IT services needs to STG. STG has offices in North America, Europe and India to service our clients global IT needs. STG offers a competitive compensation and benefits package including health coverage, vision, dental, life insurance, disability insurance, 401K, paid vacations and paid holidays. For more information about STG, please visit us at

Posted By

Shweta Huria

3001 West Big Beaver Road, Suite 500 Troy, MI, 48084

Dice Id : 10124418
Position Id : dataSciMod
Originally Posted : 2 years ago
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