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Data Science Manager
2 months ago
Position: Sr. Manager, Data Science
Duration: full-time
Location: Houston, TX
Salary: $155-165K with 15% bonus
Job Description: An employer in Houston, Tx is seeking a Senior Manager, Data Science specific to supply chain optimization and forecasting to help drive the development of industry-leading predictive models as part of its Enterprise Analytics Team. As a Sr. Manager, they will own the technical development of the supply chain optimization and forecasting predictive models portfolio. This person will develop predictive analytics (“hands-on-keyboard”) via statistical, machine learning, and mathematical models on the company's corporate data to get actionable business insights as the technical expert in the portfolio while leading and coaching data scientists to succeed in their areas of responsibility. They will be performing regular code reviews and give feedback on approach and coding standards to junior data scientists. In addition, they will be responsible for leading the technical development of an industry-leading predictive analytics portfolio in support of demand generation, assortment optimization, supply chain design & optimization. It's expected for this person to implement data science models and visualizations using Python, Tableau and open source libraries as well as designing and executing experiments to validate solutions during product rollout and present results to leadership. They will collaborate with cross-functional teams to drive business results through various use cases of customer-level in and work with the company's technology teams on data integration to architect, build and continuously improve data assets, which are the foundation of data-driven and customer-centric initiatives.
Must Haves:
Master’s degree + 4 years or PhD + 2 years of industry experience in management consulting, strategy, analytics, at a specialized analytics company or in an analytics organization in a corporate setting; Degree should be in mathematics, statistics or computer science or related field
Must have experience initiating, driving and delivering/deploying complex analytical projects in a production environment
4+ years of experience accessing and manipulating data in SQL or NoSQL database environments
3+ years of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java)
4+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or timeseries analysis required
Able to perform quantitative analysis using appropriate analytical and visualization tools such as Python, Tableau and open source libraries
Strong software design and OOP fundamentals (must be functional in nearly any language)
Demonstrated experience using machine learning algorithms in a commercial setting
High proficiency in the use of statistical packages, understanding advantages and limitations of each
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
Must be very comfortable with numbers and have a solid understanding of various analytical techniques and where they should be best deployed
Must have a basic understanding of the latest trends in database systems and technologies that enable advanced analytics including cloud based solutions (AWS preferred, also open to Azure/GCP)
Plusses:
Experience in CPG, Retail and /or Foodservice
Experience with Agile Software Development
