Data Scientist

Job Description: We are seeking a highly skilled Senior Data Scientist with strong experience in cloud-based data platforms (Google Cloud or similar), Python/PySpark development, and advanced time‑series forecasting. The ideal candidate will have deep supply chain domain expertise—preferably in Demand Forecasting—and a proven track record of building, training, and operationalizing predictive models s role will also focus on identifying data anomalies, creating alerting frameworks, and improving model accuracy through metric evaluation and tuning.

• Build, train, and deploy time‑series forecasting models using techniques such as XGBoost, Random Forest, Linear regression–based models, ARIMA, SARIMA, Holt‑Winters, Prophet / FBProphet.
• Operationalize model pipelines using Google Cloud Platform (GCP) services (Big Query, Cloud Composer, Dataproc, Cloud Run) or equivalent cloud technologies (AWS, Azure).
• Perform feature engineering, hyperparameter tuning, model validation, and continuous improvement of forecasting pipelines.

• Develop scalable data processing workflows using Python, PySpark, and SQL.
• Work with large datasets and cloud‑native data environments for analytics and modeling.
• Collaborate with data engineering teams to ensure robust data pipelines and high‑quality training data.

• Design and implement data anomaly detection systems to identify volume, pattern, and trend deviations.
• Build automated alerting frameworks for early warning of data or forecast issues.
• Investigate root causes of anomalies and recommend long‑term fixes.

• Develop and maintain accuracy measurement frameworks (e.g., MAPE, RMSE, MAE, WAPE, Bias).
• Continuously fine‑tune and optimize model performance based on metric evaluations.
• Communicate model accuracy trends and insights to both technical and business stakeholders.

• Apply strong domain knowledge in retail supply chain, inventory planning, replenishment, and demand forecasting.
• Partner with business teams to translate forecasting needs into data science solutions.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience as a Data Scientist with hands‑on model development.
• Strong programming skills in Python, including PySpark and common data science libraries (Pandas, Num Py, Sci Py, scikit learn).
• Experience working with GCP or similar cloud platforms.
• Hands‑on experience with time‑series forecasting, regression models, and ensemble methods.
• Strong SQL experience and comfort with large‑scale datasets.
• Ability to diagnose data issues, perform anomaly analysis, and build automated alerting solutions.

• Experience in retail, supply chain, inventory, or demand forecasting systems.
• Exposure to MLOps practices (CI/CD, model monitoring, retraining pipelines).

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract