Data Scientist

Diversified Services Network, Inc. (DSN) is seeking a full-time Data Scientist to join our team in Mossville, IL! We offer full benefits, PTO, 401k, and more! If you are an analytical problem-solver eager to apply ML/AI to real-world engine health and performance challenges within an extremely reputable, stable Fortune 500 company — let’s talk!

Position Overview

We are seeking a Data Scientist to play a key role within our engine analytics team, fully on-site in Mossville, IL. In this role, you will contribute to the concept, development, and design of complex algorithms, analytical models, and applications that leverage product and telematics data. You will design, develop, and test predictive and prescriptive analytics tools to enhance engine performance, support engineering design, and deliver value-added insights for customers’ engines, equipment, and job sites.

This role offers direct exposure to engine component health condition monitoring using ML/AI methods — a cutting-edge area with meaningful impact on product quality and customer outcomes. You will work collaboratively within a global team of 7 US-based and 12 India-based members in an office environment.

Key Contributions & Responsibilities

• Execute data analytics projects end-to-end and present results clearly to internal customers.
• Develop and publish dashboards and enhancements to digital tools; support adoption of DevOps processes.
• Build Machine Learning models for engine health condition monitoring.
• Develop data mining processes and tools for engine data collection, aggregation, feature extraction, analytics modeling, and reliability/durability forecasting to support engineering design, simulation, CPI, and NPI.
• Identify opportunities to solve problems through analytical models; quickly research and apply new analytics techniques and algorithmic approaches to meet customer requirements.
• Work within Agile and digital NPI processes; communicate complex technical findings in a concise and accurate manner to both technical and non-technical stakeholders.

Requirements

Education & Experience

• 1–2 years of relevant experience required.
• Minimum Bachelor’s degree in Engineering (Mechanical, Electrical, or Computer/Analytics), Computer Science, or a related field required. Master’s degree accepted with a minimum of 6 months of relevant internship experience.
• Internship experience may be counted toward the required years of experience. Associate’s degree does not meet the education requirement.

Top 3 Skills

• Proficiency in Python and/or SQL for data processing and analytics.
• Hands-on Machine Learning and Artificial Intelligence experience.
• Experience with AWS Cloud Computing or equivalent cloud platform.

Required Technical Skills

• Experience with programming languages such as Python, MATLAB, or SQL.
• Proficiency with data visualization tools such as Tableau or Power BI.
• Experience working with various databases and cloud computing environments.
• Strong proficiency in statistical and analytical methods and ML/AI model development.

Required Soft Skills

• Strong collaboration skills — comfortable working within global, cross-functional teams.
• Clear and concise communication of technical findings to both technical and non-technical audiences.
• Strong analytical problem-solving ability with a drive to research new techniques and apply them quickly.

Benefits

• 401(k)
• Dental insurance
• Vision Insurance
• Disability insurance
• Employee assistance program
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Paid Holidays

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