Senior Data Scientist __ Seatle, WA (PST TIME ZONE RESUME ONLY)

[Sunitha Sanu]

share resumes at: sun...@momentousa.com
Desk: 856-372-4625 | 856-456-1805 Ext 1025

 

Title: Senior Data Scientist

Location: Seatle, WA (PST TIME ZONE RESUME ONLY)

 

VISA: H1B

 

Job Description Summary – Data Science Engineering Support (MDO IQ)

• Responsible for supporting data science forecasting operations across multiple product lines, with a focus on production orchestration, diagnostics, and advanced analytics enablement.
• In Phase 1, the role will drive end-to-end orchestration of forecasting pipelines, including back testing and integration with data engineering systems, and develop scalable diagnostic artifacts to enable rapid root-cause analysis across all stages of the forecasting workflow (e.g., SKU mapping, demand signals, forecasting models, and data quality).
• In Phase 2, the role will extend these capabilities to simulation and scenario planning, while also enabling the transition of analytics capabilities from ADP to CDP platforms. Deliverables must be scalable, reproducible, and usable by internal data science teams independently.
• The role supports key product lines including Surface (Consumer, Commercial, Accessories) and Xbox (Consoles, Accessories).

 

Skill area --  Sr. Data Science professional with a strong mix of data analytics and data science support skills. Experienced in assisting senior data scientists with modeling, backtesting, forecast performance monitoring, and deep data analysis. Strong ability to investigate data at a detailed level, identify variances, trends, and anomalies, and translate findings into actionable insights for forecasting and supply chain decisions.

 

Key Responsibilities

• Perform deep data analysis to identify trends, anomalies, variances, and forecasting improvement opportunities.
• Support senior data scientists with model inputs, back testing, validation, and performance analysis.
• Monitor forecast accuracy, bias, and overall health of forecasting solutions.
• Analyze data quality issues and understand business drivers.
• Build analytical datasets and reports to support forecasting and supply chain planning.
• Develop dashboards and KPI reporting using Power BI or similar analytics platforms.
• Collaborate with business teams and data scientists to improve decision-making.
• Automate recurring analysis using SQL and Python.
• Ensure strong data governance and reliable data availability.

 

Preferred Qualifications

• 5+ years of experience in data analytics, forecasting analytics, or data science support roles.
• Strong expertise in SQL, Python, Excel, and data analysis techniques.
• Experience supporting forecasting models and backtesting processes.
• Understanding of statistics, trends, seasonality, and variance analysis.
• Experience with Power BI or similar analytics platforms preferred.
• Azure experience is a strong plus.
• Familiarity with Microsoft Fabric is a major plus.
• Supply chain experience preferred.