Data Engineer

Benefits:

• 401(k) matching
• Competitive salary
• Health insurance
• Paid time off
  
  
  

Benefits/Perks

• Competitive Compensation
• Flexible Scheduling
• Career Growth Opportunities
  
  
  

Basecamp Consulting and Solution is seeking a dynamic Data Engineer. The Data Engineer will interface with customers to:

• Identify and understand needs
• Assessment and decomposition of requirements
• Development and presentation of design solutions
• Cost benefit analysis of design solutions
• Documentation of design solutions in proposals.
  
  
  

As technical expert, the all things data related to develop innovative technologies and solution roadmaps including maintaining an understanding of the key capabilities, utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges

Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
  
  
  

Qualifications:

• Bachelor's degree required. Advanced degree preferred.
• Minimum five to seven years of experience in systems architecture, solution design and solution implementation.
• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Excellent planning skills in both tactical and strategic planning.
• The ability to work on multiple concurrent projects is essential.
• Strong self-motivation and the ability to work with minimal supervision.
  
  
  

Flexible work from home options available.

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