Data Architect V

Job Description

\n

\n

Position: Data Architect V

\n

Location: Seattle, WA 98121

\n

Duration: 12 Months

\n

Job Type: Temporary Assignment

\n

Work Type: Onsite

\n

Pay Rate: $120.45-$120.45/ Hr

\n

\n

Overview:

\n

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

\n

\n

\n

Job Description:

\n

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

\n

Required Skills :

\n

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

\n

Preferred Skills :

\n

\n
• 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.
\n
• A good understanding of analysis of algorithms and computational complexity is desirable.
\n
• Technical aptitude and familiarity with the design and use of complex logistics software systems
\n
• Familiarity with inventory planning concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education
\n
• Excellent written and verbal communication skills
\n

\n

TekWissen® Group is an equal opportunity employer supporting workforce diversity.