Senior Data Scientist

Medical Solutions; United States; Remote; USD 155,000 - 180,000; Full time

Job summary

A leading company is seeking a Senior Data Scientist to drive advanced analytics projects aimed at optimizing business processes. The ideal candidate will leverage machine learning and data visualization to create impactful solutions, mentor team members, and actively engage with cross-functional teams.

Qualifications

• 5+ years of experience with machine learning to optimize business outcomes.
• Experience with Database Management Systems and cloud-based ML ecosystems like Spark.
• Strong understanding of modern machine learning techniques and statistics.

Responsibilities

• Design and deploy predictive modeling and advanced analytics solutions.
• Collaborate with stakeholders to optimize business processes.
• Mentor less experienced data scientists.

Skills

Machine Learning

Data Visualization

Statistics

Data Modeling

SQL

Python

Education

Master’s degree in Statistics, Data Science, or related field

Tools

Jupyter Notebooks

Azure Data Tools

Azure Data Factory

SQL Server Management Studio

Jira

Job description

Overview

Our team is currently looking for a Senior Data Scientist who is passionate about creating awesome advanced analytics solutions for our customers and our teammates. You’ll be hands-on with solution delivery, working with data engineering and business stakeholders. The ideal candidate will identify, design, and implement solutions that optimize business processes in a strategic and impactful way. We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services. 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

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Pay Range

USD $155,000.00 - USD $180,000.00 /Yr.