Data Scientist, Solutions Architect

Summary

Join Scalesology, a growing consulting firm, as a Data and Analytics team member! This full-time, remote position requires a strong analytical background and a passion for solving complex data issues across various industries. You will work with clients to understand their needs, propose solutions, and implement advanced statistical and machine learning models. The role involves data lake/warehouse design, data mining, algorithm development, and data visualization. Mentoring clients and utilizing Agile methodologies are also key aspects. This opportunity is ideal for individuals who enjoy diverse projects and collaborative environments.

Requirements

• 4+ years of experience developing and deploying advanced statistical and machine learning models
• 4+ years of experience in SQL and at least 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 be willing to move
• Willing to travel (under 5%) to visit clients and participate in company meetings

Responsibilities

• Work with clients to understand their complex data and analytic business problems, gather requirements, and generate proposed solutions to meet their needs
• Estimate work for formalized proposals and present those proposals to clients
• 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