Data Architect V

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Position:

Data Architect V

Location:

Seattle, WA 98121

Duration:

12 Months

Job Type:

Temporary Assignment

Work Type:

Onsite

Job Description:

• Apply advanced statistics and data mining techniques to analyze and make insights from big data such as historical production data and simulation/experiment results
• Closely collaborate with other operations research scientists and economists in IPC to develop Selection and assortment planning models.
• Interact various software and business groups to develop an understanding of their business requirements and operational processes.
• Apply the acquired knowledge and business judgment to build decision-support and operational tools to improve the bottom line.
• Identify areas with potential for improvement and work with internal teams to generate requirements that can realize these improvements.
• Provide technical leadership to junior members of the team.
• Effectively communicating with senior management as well as with colleagues from computer science, operations research, and business backgrounds.

Required Skills:

• BS degree or higher in Computer Science, Engineering or related field
• 5+ years professional experience in commercial or web-scale system software development and delivery
• Proficiency in a modern programming language such as C, C++, Java, or Python
• Understanding of scalable computing systems, software architecture, data structures, and algorithms
• Communication, sharp analytical abilities and proven design skills
• Proficiency in one or more of programming languages JAVA, C++

Preferred Skills:

• Expertise in one or more of the following: optimization, probability theory, queuing theory, game theory, simulation, decision analysis, stochastic models, system dynamics, forecasting and mathematical modeling.
• A good understanding of analysis of algorithms and computational complexity is desirable.
• Technical aptitude and familiarity with the design and use of complex logistics software systems
• Familiarity with inventory planning concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education
• Excellent written and verbal communication skills

TekWissen Group is an equal opportunity employer supporting workforce diversity.