OneMagnify

DataScientist

$95–135k ~AI est. Detroit, Michigan, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist at OneMagnify. Skills: Data science, Predictive modeling, Data integration, Analytics. Design analytical models. Deploy analytical models”

What You'll Achieve.

Drive measurable outcomes; Build analytics capabilities at scale; Reproduce, maintain, and extend code

Industry & Context.

Problems you'll solve

Root-cause analysis; Data-quality issues

What They're Looking For.

Must Have

BAS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or related quantitative field, 2–5+ years of hands-on analytics, Advanced SQL, Databricks experience, Tableau and/or Power BI proficiency, Git/GitLab experience, Excel and PowerPoint skills, Ability to present analyses to management, Collaborate with business and technical stakeholders, Experience diagnosing and resolving data-quality issues, Understanding of data governance, privacy, and compliance standards

Nice to Have

SAS or R proficiency, Automotive or VIN data familiarity, AI-enabled analytics workflows exposure, Experience in integrated marketing, consulting, or digital services

What You'll Do.

Design analytical models

Deploy analytical models

Monitor analytical models

Conduct causal analyses

Develop optimization solutions

Ensure model reproducibility

Integrate data from multiple sources

Develop data-quality reporting

Conduct root-cause analysis on data anomalies

Validate database changes

Process large-scale data

Execute machine learning workflows

Partner with business teams

Partner with engineering teams

Define business rules

Turn requirements into technical specifications

Ensure alignment between client requests and built solutions

Synthesize analytical findings

Present analytical findings

Build metrics reports

Prepare visualizations

Use Git for version control

Collaborate on code development

Implement MLOps practices

Manage end-to-end model lifecycle

Adhere to data governance standards

Adhere to data privacy standards

Adhere to compliance standards

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Strategy teams; Delivery teams; Internal stakeholders; External stakeholders; Business stakeholders; Technical stakeholders

Communication Scope

Present findings; Handle inquiries; Build reports; Prepare visualizations

Full Job Description

# Data Scientist ## Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that clients actually use to make decisions. You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy solutions that span the full analytics lifecycle, from data integration and quality to predictive modeling and advanced analytics. This role is a fit for someone who wants to do serious technical work and see it matter in the real world. ## The Impact You'll Have The clients you'll support are making high-stakes decisions about customers, markets, and products. Your models, including forecasting demand, segmenting audiences, and optimizing spend, become the analytical backbone of how they operate. When your work is right, it drives measurable outcomes. When it's wrong, someone notices. That accountability is part of what makes this role interesting. You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That means writing code and documentation that others can reproduce, maintain, and extend. Shipping a model is the beginning, not the end. Cross-functional collaboration with engineering, strategy, and delivery teams is part of the daily rhythm, and your ability to translate between technical and business contexts will be used constantly. The work spans industries and problem types (automotive, retail, financial services, and more) so you'll develop breadth alongside depth. You'll rarely work on the same type of problem twice in a row. ## What You'll Do **Build and validate analytical models** * Design, deploy, and monitor models including forecasting, classification, regression, and segmentation * Conduct A/B testing and causal analyses with rigorous experimental design and clear documentation * Develop optimization solutions (linear, mixed-integer, multi-objective) and ensure reproducibility across

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