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- Drive discovery, design, and execution of advanced analytics solutions for internal clients
- Work closely with client business and technical stakeholders to shape the success of projects
- Provide leadership at all stages of the delivery pipeline: estimations, design, management, coding, deployment, and more
- Create and deploy predictive, prescriptive and descriptive models and utilize analytical, statistical, and machine learning tools to uncover insights and actions
- Collaborate with other BI team members to ensure successful delivery and high business impact for our internal clients
- Present to client, industry, and internal peer groups
- Aggressively grow your skillset and expertise to meet the emerging needs of the market
- 5+ years of professional advanced analytics development and delivery experience
- Deep knowledge of AI cases and patterns: time series, classification, natural language processing, simulation and more
- Agile development methodology experience
- Proven skills in at least one of the following: Python, Scala, or R (Python strongly preferred)
- Experience with common machine learning libraries
- Experience developing in cloud environments (Azure, GCP, AWS) using the associated tools
- Experience in traditional database development and analysis (SQL, PowerBI, SSRS, etc.)
- Capability across the full advanced analytics lifecycle, including business discovery, model operationalization and model monitoring and maintenance
- Skill at crystalizing vision into clear priorities, estimates, tasks, and deliverables (code, presentations, white papers, etc)
- Drive to make others great though collaboration, example, and mentoring
- Eagerness to learn new tools and technologies and passion to deliver quality solutions both individually and as part of a team
- 5+ years of experience in one or a combination of the following reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one or a combination of the following reporting, analytics, or modeling
- 5 + years of experience using quantitative machine learning techniques
- 5+ years of Python experience
- 5+ years of SQL experience
- Extensive knowledge and understanding of research and analysis
- Strong analytical skills with high attention to detail and accuracy
- Excellent verbal, written, and interpersonal communication skills
- Ability to develop partnerships and collaborate with other business and functional areas
- 5+ years of experience working with big data infrastructure and tools (e.g., Hadoop, Spark, Java, MapReduce).
- Advanced degree in quantitative discipline (e.g., Statistics, Economics, Computer Science, Applied Mathematics)
- Strong programming skills using advanced statistical tools like R, Python, SAS, and MATLAB with ability to manipulate data for analytical purposes, conduct statistical data analysis, and build predictive models.
- Advanced knowledge of statistical techniques (e.g., probability, multivariate data analysis, regression, PCA, time-series analysis)
- Solid understanding of and experience with machine learning techniques, such as decision trees, random forests, neural networks, SVM, ensemble learning, etc.
- Strong acumen diagnosing and resolving data issues to ensure accuracy and completeness.
- Exceptional analytical, critical thinking, quantitative reasoning skills, and problem-solving skills. Ability to relate complex analysis and insights to effective business strategy
- Proven ability to drive each project to completion with minimal guidance while effectively managing multiple projects at a time
- Strong communication skills with both technical and non-technical stakeholders
- Founded in 1988 in Tempe, Arizona
- 11,000+ teammates in 21 countries providing Insight Intelligent Technology Solutions™ for organizations across the globe
- $9.2 billion in revenue in 2018
- Ranked #430 on the 2019 Fortune 500, #14 on the 2019 CRN Solution Provider 500
- 2019 Adobe Americas Partner of the Year, 2019 Cisco Global-Americas Partner of the Year, 2019 Intel IoT Solutions Partner of the Year, Microsoft U.S. Azure Partner Choice Award for Data/AI, Microsoft Azure Expert Managed Services Provider
- Ranked #23 on the 2019 Fortune 50 Best Workplaces in Technology, #70 on the 2019 Fortune 100 Best Workplaces for Diversity, and #7 on the Phoenix Business Journal 2019 list of Best Places to Work (Extra Large Business)
- Signatory of the United Nations (UN) Global Compact and Affiliate Member of the Responsible Business Alliance
Vacancy expired!