Data Scientist / Solutions Architect

Scalesology; Chicago (IL); Remote; USD 80,000 - 110,000; Full time

Job summary

Scalesology, une entreprise de conseil en pleine croissance, recherche un expert en données pour renforcer son équipe. Ce rôle à distance nécessite plus de 4 ans d'expérience en machine learning, SQL et dans le développement de modèles. Vous travaillerez sur divers projets analytiques, fournissant des solutions innovantes à nos clients tout en mentorant ceux qui utilisent ces solutions. Un diplôme en Data Science ou un domaine connexe est requis.

Qualifications

• 4+ années d'expérience en développement et déploiement de modèles avancés.
• Compétences en SQL et au moins un langage comme Python, Julia ou R.
• Compréhension approfondie du machine learning et des techniques de modélisation prédictive.

Responsibilities

• Travailler avec les clients pour comprendre et résoudre des problèmes complexes de données.
• Développer et déployer des algorithmes statistiques et de machine learning.
• Créer des visualisations de données efficaces pour générer des insights exploitables.

Skills

Machine Learning

Statistical Analysis

Data Visualization

SQL

Python

Communication

Education

B.S. in Data Science, Computer Science, or Mathematics

Tools

Tableau

Power BI

AWS

Azure

Google Cloud

Jira

GitHub

Job description

Scalesology is a growing consulting company that helps businesses scale their data processes and technology, working with clients wherever they are on their analytics journey. We are looking for passionate, innovative, and mindful individuals to build our Data and Analytics team. This is a full-time remote position.

At Scalesology, we pride ourselves on providing a positive atmosphere of integrity and respect for our employees and clients. Our Core Values are a daily part of everything we do.

• Commit to the Cause: We are committed to being responsive, passionate, intentional and diligent in everything we do.
• Treat other like you want to be treated: We treat our clients and our colleagues with mindfulness, humility, respect, and integrity.
• Focus on the Leading Edge: We embrace continuous learning in order to implement innovative technologies for our clients. We are not satisfied with the status quo.
• Celebrate the Journey: We believe in working hard, recognizing our employees’ efforts along the way, and having fun as we do it.

If you have a strong analytical background, appreciate working on a diversity of projects, and enjoy solving challenging data issues across different industries - this is the job for you!

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.

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

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