Data Scientist (Machine Learning) at Progressive Edge

Job Description

• This is a high level mid to senior level position.
• Unlock the power of data and drive business success as a Data Scientist. In this role, you'll transform complex data sets into valuable insights, leveraging data as a competitive advantage for our company. You'll extract, analyze, and interpret data using algorithmic modeling, data mining, AI, machine learning, and statistical techniques to uncover trends and patterns that support our objectives.
• This position requires a unique combination of technical expertise and strong communication skills. You'll need a passion for the art of data science, translating intricate findings into clear, concise narratives that resonate with stakeholders.

Responsibilities:

• Collaborate with cross-functional teams to identify business needs and model data-driven scenarios that address key questions
• Partner with Senior and Lead Data Scientists to develop robust, scalable solutions that bring business requirements to life
• Design, validate, and execute algorithms and predictive models to collect, merge, analyze, and interpret large data sets
• Investigate problems, detect patterns, and extrapolate insights from data
• Build data structures and pipelines to organize, collect, and standardize data
• Perform data preparation, cleaning, and validation to ensure data integrity, accuracy, completeness, and uniformity
• Test and select optimal data mining models for each project
• Adhere to stringent quality assurance and documentation standards using version control and code repositories
• Cross-validate models to ensure their broad applicability
• Assess and optimize data sources and data-gathering techniques
• Visualize analytical findings and results in a clear, compelling manner
• Effectively structure and plan projects, timelines, and deliverables, weighing business and technical trade-offs
• Conduct research and develop prototypes and proof of concepts
• Share insights across teams to foster collaboration
• Stay current on the latest data science research, developments, and best practices

Requirements:

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Information Technology, Information Systems, or a related field
• A minimum of 4 years of experience as a Data Scientist or similar role, with solid expertise in applying machine learning, deep learning, data mining, and mathematical/statistical methodologies to support business objectives
• Retail, commercial, or IT industry experience is preferred
• Proficiency in SQL, Python, and data science toolkits
• Advanced skills in MS Office 365, including Excel
• Experience with design thinking, lean, and agile principles is a plus