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Job ID : 35438

Location : Manchester, MI

Company Name : Dart Point

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $167000 - $177000  per year

No. of Positions : I have ongoing need to fill this role

Required Skills : Data Visualization, Data Wrangling, Mathematics..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :


  • Building algorithms and designing experiments to merge, manage, analyze, and extract data for tailored reports to colleagues, clients or management. 
  • Creating, managing, and utilizing high performance relational and NoSQL databases, such as Microsoft SQL Server, Oracle, Microsoft Access, OLAP and other software. 
  • Selecting and implementing data mining methods most relevant to company projects and desired outcomes. 
  • Enhancing data collection to include information relevant for building analytic systems. 
  • Querying and mining large data sets to discover transaction patterns, examining data and filtering for targeted information that utilize both traditional and predictive/advanced analytic methodologies. 
  • Act as a technical thought leader in collaboration with the analytics team, helping to set the strategy and standards for data science and advanced analytics. 


  • Bachelors degree or higher in data relevant fields: Computer Science, Mathematics, Physics, Engineering, Statistics, etc. 
  • Expansive knowledge of Python, and strong familiarity with R, Java, SQL, Scala, and MATLAB. 
  • Experienced with NoSQL databases like MongoDB and Cassandra, as well as big data platforms like Aster and Hadoop. 
  • Experience with BI Viz tools such as Tableau, Cognos, Adobe Analytics or Google Analytics.
  • Ability to perform in a multidisciplinary and highly collaborative environment where knowledge and sharing insights and information is critical. 
  • Experience working in statistics, probability and analytics, as well as ability to present findings and trends in clear and efficient ways. 

Key Skills:

  • Statistical analysis and computing.
  • Machine Learning.
  • Deep Learning.
  • Processing large data sets.
  • Data Visualization.
  • Data Wrangling.
  • Mathematics.
  • Programming.

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All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. is not a Consulting Company/Training Company/H1B Sponsor.

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