Senior Data Scientist

Overview:

You’ll be flexible, proactive, and solution focused.

Responsibilities:

• Learn business processes and gain deep understanding of their data requirements to design and apply advanced analytics solutions to optimize them
• Design, develop, evaluate, and deploy predictive modeling, machine learning (ML), and advanced analytics solutions
• Expert level data visualization to summarize and present key insights to both technical and non-technical audiences including presenting predictions, experiment results, and other analytical outcomes
• Contributes to identifying new statistical methods, technologies, and design patterns
• Contributes to architectural design discussions of enterprise-grade ML platforms that meet compliance, performance/scalability, and operational requirements
• Partner closely with dev ops engineers to support development, experimentation, continuous integration, continuous delivery, validation, and monitoring of AI/ML Models
• Mentor less experienced data scientists
• Work cross-functionally with resources such as business SMEs, analysts, data engineers, architects, DBAs, and infrastructure to design and deliver advanced analytic solutions
• Work with other members of the analytics team to document requirements, assumptions, and methodologies including validation, testing, and implementation strategies
• Work with the analytics team to standardize reporting practices across the organization
• Training and tuning production quality models
• Deployment of production models through low latency rest endpoints
• Assists with building data science and advanced analytics roadmaps
• Acts as a thought leader in solutioning for new projects
• Establishes and maintains coding and ML standards, source control, scalability, testing processes, etc.
• Stay current with the approved enterprise technology and ML stack

Qualifications:

• Master’s degree in Statistics, Data Science, or a closely related discipline in a Computer Science field (or equivalent), or equivalent work experience
• Minimum 5 years of demonstrated experience with utilizing machine learning to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation
• Minimum 5 years of experience working with Database Management Systems, Data Lake, and cloud-based ML Ecosystems such as Spark or Azure Data Bricks
• Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics
• Experience using Integrated Development Environments like Notebooks (e.g., Jupyter), and Visual Studio with SSDT, Azure Data Tools, SQL Server Management Studio
• Skilled in data modeling for advanced analytics
• Deep understanding of common design patterns and their uses
• Skilled in creating operational production machine learning models
• Proficiency with ETL and ELT design patterns and optimization as well as complex orchestration via tools like Azure Data Factory, Azure Data Bricks, or similar
• Using work management tools such as Jira or Azure DevOps
• Experienced with web services and other Application Programming Interfaces
• Expert knowledge of SQL
• Expert knowledge and application of modern data science languages such as Python, R, Scala, etc.
• Strong interpersonal communication and presentation skills
• Collaborative and team-centric
• Strong desire to uphold best practices
• Ability to anticipate changes and impacts
• Iterative mindset focused on constant improvement

Pay Range: USD $155,000.00 - USD $180,000.00 /Yr.