Data Scientist Sr at Insight Enterprises Inc in Phoenix, AZ

Join Insight’s Business Intelligence team as a Sr. Data Scientist and build solutions utilizing the most cutting-edge cloud based technologies in machine learning, artificial intelligence, and advanced analytics! On our team, you will work closely with client stakeholders and our diverse, award-winning team of engineers, architects, and thought leaders to design, build, and implement next-generation solutions. We know that our success is due to our smart, talented team! As a full time, permanent team member with a competitive benefits plan, you’ll have the opportunity to grow in a supportive environment where you can be creative, develop professionally, and stay on the forefront of technology.

What our Data Scientists Do:

• 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

What We Look For

• 10+ 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
• Econometric and quantitative economic model development and deep understanding of Financials
• Price waterfall and price elasticity modeling
• Sales process understanding: pipeline, forecasting and commit
• 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

(Databricks, Azure Machine Learning, SageMaker)

• 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

Required Qualifications

• 10+ 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
• 8 + years of experience using quantitative machine learning techniques
• 10+ years of Python experience
• 10+ years of SQL experience

Desired Qualifications

• 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

Other Desired Qualifications

• 8+ 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