Data Scientist

hadoop, hive, alteryx, qlikview, pyspark
Contract W2, 12 Months
Depends on Experience
Travel not required

Job Description

Description: STG is a fast-growing Digital Transformation services company providing Fortune 500 companies with Digital Transformation, Mobility, Analytics and Cloud Integration services in both information technology and engineering product lines.  STG has a 98% repeat business rate from existing clients and have achieved industry awards and recognition for our services.   Crain’s Detroit Business named STG to Michigan’s Fastest Growing Companies list in both 2020 and 2019, Top IT Services Company’s List in 2020, 2019, 2018, and Top Minority Business Enterprise List in 2020, 2019, and 2019.

STG puts company CULTURE at the forefront of every business decision and employees are EMPOWERED and MEASURED for RESULTS.   Both TEAMWORK and INDIVIDUAL Performance is recognized and rewarded.

This is a full-time position that includes responsibilities of a Business Process Operations Analyst.  The right person for this position will have high energy, a positive attitude, and a high attention to detail, and an unwavering commitment to success.   

Experience Required:

  • 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, Alteryx, 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, DB2 or Greenplum, etc

Resume Submittal Instructions: Interested/qualified candidates should email their word formatted resumes to Anjali.dodhiwala(@) and /or contact at 248.220.0301. In the subject line of the email please include: First and Last Name – Data Scientist


Dice Id : 10124418
Position Id : 5934174
Originally Posted : 3 years ago
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