Data Scientist / Solutions Architect

Scalesology; Chicago (IL); Remote; USD 123,000 - 213,000; Full time

Job summary

A growing consulting company, Scalesology, is looking for a Data Scientist/Solutions Architect to join their Data and Analytics team. This remote full-time role involves solving complex data problems, leveraging machine learning, and working closely with clients to implement data-driven solutions. Ideal candidates will have a strong analytical background and experience with cloud environments.

Qualifications

• 4+ years of experience developing advanced statistical and machine learning models.
• Proficiency in SQL and at least one programming language like Python or R.
• Willing to travel occasionally for client visits.

Responsibilities

• Work with clients to understand their complex data problems and propose solutions.
• Develop and deploy statistical and machine learning algorithms.
• Create effective data visualizations for actionable insights.

Skills

Statistical modeling

Machine learning

Data visualization

SQL

Python

R

Data wrangling

Education

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

Tools

Tableau

Power BI

AWS

Azure

Google Cloud

GitHub

Jira

Job description

Join to apply for the Data Scientist / Solutions Architect role at Scalesology

Join to apply for the Data Scientist / Solutions Architect role at Scalesology

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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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Data Infrastructure and Analytics

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