Hello,
Greetings.!
This is Hima from Appridat Solutions LLC. I was reviewing your resume online and would like to talk to you regarding an exciting opportunity Machine Learning Engineer at Dearborn, MI . We have with one of Appridat Solutions LLC premier clients.
Role : Machine Learning Engineer
Work location : Dearborn, MI
Duration : Long Term
Interview Mode : Video - 2 rounds
Experience Level : 2- 3 years
Primary Focus:
Statistics, forecasting, and AI-Assisted Analytics
Experience Preferred:
Automotive launch or manufacturing launch experience.
Position Overview:
We re seeking a mid-level Launch Data Analyst who combines strong statistical modeling with practical data engineering and AI-assisted analytics.
You ll translate historical launch data into robust metrics, trend forecasts, and risk analyses that inform key launch decisions.
The role requires solid Python proficiency, the ability to build reproducible analytics, and the capacity to communicate complex methods and results to senior leaders.
Position Duties:
- Statistical Design and Modeling
- Develop and maintain statistical models for launch metrics using historical data (time series, regression, causal inference when appropriate).
- Produce short- and medium-term forecasts (demand, adoption, risk indicators) and quantify forecast uncertainty.
- Apply causal analysis techniques when needed (e.g., differences-in-differences, propensity-score methods) to isolate effects.
- Data Collection, Wrangling, and Quality
- Ingest and clean data from Excel, SharePoint, databases, and cloud sources; implement reproducible data processing in Python.
- Validate data quality and document data lineage and assumptions.
- AI-Assisted Analytics with Guardrails
- Use AI tools to accelerate hypothesis generation, literature reviews, and exploratory analysis, while rigorously validating outputs and maintaining auditability.
- Analytics Automation and Toolkit
- Build modular Python codebase to streamline repetitive tasks; modularize code for reuse; version control with Git.
- Create and maintain dashboards and reports (Power BI/Tableau) to communicate results to stakeholders.
- Insights Communication and Decision Support
- Translate statistical findings into clear business recommendations; develop executive-ready presentations and summaries.
- Provide actionable insights for launch planning, risk mitigation, and resource allocation.
- Collaboration and Governance
- Partner with tech team, product/launch teams, and leadership to align analyses with governance, privacy, and compliance standards.
- Contribute to measurement plans and ensure analyses are reproducible and auditable.
Skills Required:
- Statistics & Modeling: Solid grounding in experimental design, regression (linear/logistic), time-series analysis, hypothesis testing, and interpretation of results in a business context.
- Python Proficiency: Proficient in Python (pandas, numpy, scipy, statsmodels, scikit-learn); able to write clean, modular, reproducible code that is ready to be integrated into applications when needed; familiarity with Jupyter notebooks.
- Data & Tools: Strong SQL skills; experience with data visualization (Tableau, Power BI) and Excel for quick analyses. Dashboard development is a core skill.
- AI-Supported Analysis: Comfortable using AI tools for research and problem-solving with rigorous validation of outputs.
- Communication: Ability to explain complex methods to non-technical stakeholders; strong written and verbal communication; capable of producing executive-level dashboards and slides.
- Time Management: Proven ability to manage multiple priorities in a fast-paced environment; deliver insights within tight timelines.
What Makes You Successful in This Role:
- Methodology with Pragmatism: Design and defend robust analyses that drive tangible decisions.
- Reproducibility and Quality: Deliver clean, well-documented code and transparent data workflows.
- AI-Enabled, Not AI-Dominated: Leverage AI to accelerate insight while maintaining control over validation, governance, and provenance.
- Business Acumen: Understand launch dynamics, constraints, and risks; translate analytics into practical recommendations.
- Collaboration: Communicate effectively with cross-functional teams and management.
Skills Preferred:
- Automotive experience or domain knowledge in manufacturing or product launches.
- Knowledge of additional languages or libraries (PuLP/OR-Tools) is a plus.
- Familiarity with advanced forecasting or scenario analysis techniques and basic optimization concepts.
- Experience building modular, version-controlled codebases.
Education Required:
- Bachelor s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or related field.
Regards,
Hima Bindu
Appridat solutions LLC.
5655 Peachtree Parkway, Suite 212, Peachtree Corners, GA 30092
Direct:
Email:
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