Data Scientist: Build Real-World Analytics & Models

OneMagnify; Detroit (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

OneMagnify seeks a Data Scientist to translate complex business questions into actionable models, analyses, and insights that drive client decisions. You will collaborate with Data Engineering, AI, and cross‑functional teams to design end‑to‑end analytics solutions across the full lifecycle, from data integration to deployment.

You will build and validate analytical models, run A/B tests, and contribute to ML workflows with Databricks, Tableau, and Power BI while ensuring governance and

Qualifications

• BA/BS in a quantitative field or equivalent practical experience.
• 2–5+ years of hands-on analytics, including predictive modeling, A/B testing, and optimization.
• Advanced SQL and Python with ability to query and interpret data.
• Experience with Databricks for large-scale data processing and ML workflows.
• Proficiency with Tableau and/or Power BI for visualization.
• Experience with Git/GitLab for version control and collaborative development.
• Strong Excel and PowerPoint skills.
• Ability to present analyses to management and cross-functional teams.
• Experience diagnosing data-quality issues and knowledge of data governance.

Responsibilities

• Build and validate analytical models across business questions.
• 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 the full model lifecycle.
• Own data integration and quality: integrate data from multiple sources, develop data‑quality reporting, conduct root‑cause analysis on data anomalies, and validate database changes prior to release.
• Use Databricks for large‑scale data processing and machine learning workflows.
• Translate requirements into technical solutions by partnering with business and engineering teams to elicit requirements, define business rules, and turn them into technical specifications.
• Document solutions clearly enough that someone else can maintain and extend your work, ensuring alignment between what clients ask for and what gets built.
• Communicate findings to varied audiences: synthesize and present analytical findings to internal and external stakeholders, including executive‑level audiences.
• Build metrics and KPI reports that inform real business decisions, not just dashboards that get ignored.
• Prepare visualizations in Tableau and Power BI that make complex outputs accessible.
• Support collaborative development using Git/GitLab for version control, reproducibility, and collaborative code development.
• Collaborate with engineering teams to implement MLOps practices—including model deployment, monitoring, and end‑to‑end lifecycle management using tools such as MLflow.
• Adhere to data governance, privacy, and compliance standards across all work.

Skills

SQL

Python

Excel

PowerPoint

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, MIS, Marketing Research

Tools

Databricks

Tableau

Power BI

Git/GitLab

MLflow

Job description

OneMagnify seeks a Data Scientist to translate complex business questions into actionable models, analyses, and insights that drive client decisions. You will collaborate with Data Engineering, AI, and cross‑functional teams to design end‑to‑end analytics solutions across the full lifecycle, from data integration to deployment.

You will build and validate analytical models, run A/B tests, and contribute to ML workflows with Databricks, Tableau, and Power BI while ensuring governance and