> Markdown version of [/jobs/ext/1295133-senior-data-scientist-cdc](https://www.wearedevelopers.com/jobs/ext/1295133-senior-data-scientist-cdc). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist (CDC) - **Company:** MACRO-PRO, INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Cleansing, Information Engineering, Data Visualization, Database Queries, Job Scheduling, Python (Programming Language), Machine Learning, Power BI, Feature Engineering, Model Validation, Pyspark, Xgboost, Machine Learning Operations, Databricks - **Published:** July 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p51pmltiqg ## About the Role * Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models) * Experience with forecasting models such as LightGBM/ XGBoost and classical time series methods (e.g., ETS/ARIMA) * Strong understanding of the machine learning workflow (data cleansing, feature engineering, model evaluation, model explainability) * Familiarity with forecasting evaluation metrics (e.g. MAPE, MAE) and ability to validate model performance * Strong SQL skills for managing and querying large datasets * Knowledge of data visualization tools (e.g., Power BI) * Experience with cloud-based technologies such as Databricks, Azure, or AWS * Strong communication skills - able to explain insights and models to both business and technical teams * Ownership and accountability - able to deliver end-to-end solutions, not just analysis * Collaboration - able to work effectively with Data Engineering, Tech, Product, and Supply Chain teams Preferred (Optional) Qualifications * Exposure to MLOps tools (e.g., MLflow, job scheduling) * Experience building production pipelines for forecast outputs (daily/weekly runs) and supporting downstream systems * Experience in real-time analytics or scheduled processing systems * Optimization mindset - able to balance accuracy, business impact, and time constraints ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)