What are the responsibilities and job description for the Lead Data Scientist position at GSPANN Technologies, Inc?
About GSPANN
Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm.
Location: Portland, OR / Remote PST Hours
Duration: Long Term
• Advanced degree (PhD or Master’s preferred) in Operations Research, Industrial Organization, Applied Mathematics, Statistics, Economics, Computer Science, or related field and at least 5 years of related industry experience or Bachelor’s degree and 7-12 years related industry experience.
• Demonstrated expertise in mathematical optimization (e.g., linear programming, mixed-integer programming, stochastic optimization) and experience with commercial or open-source solvers (e.g., Gurobi, CPLEX, CBC, Pyomo).
• Strong background in industrial organization economics, including market analysis, pricing strategies, and competitive modeling.
• Experience applying optimization and economic theory to real-world business problems, preferably in retail, supply chain, or consumer goods sectors.
• Advanced programming skills in Python and optimization libraries (e.g., PuLP, Pyomo, OR-Tools), with ability to build and maintain production-grade optimization software.
• Proven ability to communicate complex optimization concepts and results to non-technical stakeholders.
• Demonstrated ability to apply programming skills to data acquisition, preprocessing, modeling and monitoring as well as familiarity with the wide range of data science/analytics software tools.
• Experience with common data science/analytics software tools (e.g. Jupyter Notebook, SQL, Spark, Git) and cloud computing platforms (e.g. Amazon Web Services).
• Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale and familiarity with mainstream packages relevant to managing all stages of Data Science/Analytics lifecycle.
Working at GSPANN
GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry.
The company does and will take affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disabled.
