Data Scientist

Overview

In this role you drive data-driven insights to identify business opportunities and revenue growth. You’ll translate data patterns into actionable models, working with stakeholders to answer key business questions. You will handle diverse data, apply supervised and unsupervised ML methods, and tune models for production use. This position sits within a client-focused delivery team that combines analytics, AI, and data engineering to create measurable impact.

Pay / Benefits

• remote or hybrid work options

Responsibilities

• Tackle data science and ML projects to deliver client solutions
• Decompose complex business problems and translate into analytic approaches
• Conduct market research, articulate viewpoints, and communicate with clients
• Bring innovative thinking and best practices to client outcomes
• Build relationships with clients to understand project work and challenges
• Work with structured and unstructured data of varying sizes
• Process large data streams in distributed computing environments
• Implement batch and real-time model scoring
• Assemble large, complex data sets meeting business requirements
• Perform ad hoc data analyses as needed
• Collaborate with data stakeholders to resolve information flow issues

Key requirements

• 4+ years in data science consulting environments
• 4+ years in projects focused on predictive analytics, data design, statistics, AI/ML, or ML Ops
• 3+ years using Python and/or R to analyze disparate datasets

• team player
• dependable performance
• excellent work ethic
• Python and/or R for data analysis
• ML/AI techniques (supervised/unsupervised)
• ML Ops

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