Scalesology is hiring a
Data Scientist

Summary

Scalesology is seeking a remote Data and Analytics team member with 4+ years of experience in advanced statistical and machine learning models, SQL, and one of Python, Julia, R, or similar languages. The job involves working with clients to understand their complex data problems, providing expertise in statistics, machine learning, and business intelligence, assisting in data lake, data warehouse, and database design, conducting data mining and exploratory data analysis, developing and deploying statistical and machine learning algorithms, creating effective data visualizations, acting as a mentor to clients, and having experience with Agile methodology, JIRA, Github, and data visualization tools such as Tableau or Power BI. A B.S. in Data Science, Computer Science, Mathematics, or a related field is preferred, and the candidate must live in Illinois, Indiana, or Wisconsin.

Requirements

• 4+ years of experience developing and deploying advanced statistical and machine learning models
• 4+ years of experience in SQL and one of the following: Python, Julia, R, or similar language
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Proficiency developing and deploying models in a Cloud environment such as AWS, Azure, or Google Cloud
• Database and API integration experience
• Extensive data wrangling experience in data ingestion, cleansing, transformation, validation, and enrichment
• Experience with data visualization tools such as Tableau or Power BI
• Experience with Agile methodology, JIRA, and Github
• Team player with excellent verbal and written communication
• B.S. (or graduate degree preferred) in Data Science, Computer Science, Mathematics, or a related field
• Must live in Illinois, Indiana, or Wisconsin or be willing to move

Responsibilities

• Work with clients to understand their complex data and analytic business problems, gather requirements, and generate proposed solutions to meet their needs
• Provide statistics, machine learning, and business intelligence expertise on projects based on large-scale data
• Assist in data lake, data warehouse and database design and implementation for analytical solutions
• Conduct data mining and exploratory data analysis
• Develop, optimize, validate, and deploy statistical and machine learning algorithms (e.g. GLM, Naïve Bayes, time series, random forests, neural networks, clustering, NLP, GAN, LLM)
• Create effective data visualizations that generate actionable insights for business improvements
• Act as a mentor to clients, providing best practices and educating them on their analytical solution