Data Scientist / Solutions Architect

ZipRecruiter; Chicago (IL); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading consulting company seeks passionate individuals to join their Data and Analytics team. This full-time remote position involves solving challenging data issues, developing machine learning models, and collaborating with clients to deliver innovative solutions. Ideal candidates will have a strong analytical background and experience in data science.

Qualifications

• 4+ years of experience in statistical and machine learning models.
• Proficient in SQL and at least one programming language (Python, R, etc.).
• Experience with cloud environments and data visualization tools.

Responsibilities

• Collaborate with clients to solve complex data problems.
• Develop and deploy statistical and machine learning algorithms.
• Create data visualizations that provide actionable insights.

Skills

Statistical modeling

Machine learning

Data visualization

Data wrangling

SQL

Python

Communication

Education

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

Tools

Tableau

Power BI

AWS

Azure

Google Cloud

Jira

Github

Job description

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 others 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 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, enjoy working on a variety of projects, and solving challenging data issues across different industries, this is the job for you!

Responsibilities

• Collaborate with clients to understand complex data and analytics business problems, gather requirements, and propose solutions to meet their needs.
• Estimate work for formal proposals and present these to clients.
• Provide expertise in statistics, machine learning, and business intelligence on projects involving large-scale data.
• Assist in designing and implementing data lakes, data warehouses, and databases 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, sharing best practices and educating them on their analytical solutions.

Requirements

• 4+ years of experience developing and deploying advanced statistical and machine learning models.
• 4+ years of experience with SQL and at least one of the following: Python, Julia, R, or similar.
• Deep understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms.
• Proficiency in developing and deploying models in Cloud environments such as AWS, Azure, or Google Cloud.
• Experience with database and API integration.
• Extensive data wrangling experience, including data ingestion, cleansing, transformation, validation, and enrichment.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with Agile methodology, Jira, and Github.
• Excellent verbal and written communication skills, and ability to work as part of a team.
• B.S. or higher degree in Data Science, Computer Science, Mathematics, or a related field.
• Must reside in Illinois, Indiana, or be willing to relocate.
• Willing to travel (under 5%) for client visits and company meetings.

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