Data Scientist

Requirements:

• We require a bachelors or masters degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, or a related discipline.
• We require 3-5 years of experience in data analytics, business intelligence, data science, or a similar analytics-focused role.
• We require strong experience with Power BI, SQL, data modeling, and dashboard creation.
• We require experience with Microsoft Azure and Microsoft Fabric.
• We require proficiency in Python for analytics and data preparation.
• We require experience working with large-scale enterprise data sets.
• We prefer experience with Microsoft Fabric services such as Lakehouse, Spark, Data Factory, Real-Time Analytics, and semantic models.
• We prefer familiarity with machine learning frameworks and core AI/ML concepts.
• We prefer knowledge of pricing analytics, supply chain analytics, inventory optimization, and wholesale or distribution analytics.
• We prefer experience with REST APIs, event streaming, Kafka or Event Hub, and XML or JSON data processing.
• We prefer familiarity with cloud data warehouse modernization initiatives.
• We consider Microsoft certifications in Azure, Power BI, Fabric, or Data Engineering a plus.

Responsibilities:

• We design, develop, and maintain interactive Power BI dashboards and analytical solutions, including Direct Lake semantic models, Copilot-enabled experiences, paginated reports, and executive scorecards.
• We build KPI-focused dashboards for pricing analytics, POS sales trends, inventory optimization, supply chain performance, customer purchasing behavior, and branch/DC operational reporting.
• We enable self-service analytics through governed semantic models, curated data sets, and reusable reporting assets.
• We develop predictive and prescriptive models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment.
• We apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI or OpenAI capabilities.
• We support AI-driven initiatives such as Copilot-enabled analytics, conversational BI, sentiment analysis, speech-to-text analytics, and agentic AI use cases.
• We work across the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream or Real-Time Intelligence, Spark notebooks, semantic models, and Power BI.
• We support ingestion and transformation of enterprise data from Oracle, SQL Server, APIs, SaaS platforms, XML or JSON log files, and event streaming platforms.
• We partner with Pricing, Sales, Supply Chain, Operations, and IT teams to translate business needs into technical analytics solutions and present insights to leadership.
• We contribute to enterprise data modernization and cloud transformation initiatives.

Technologies:

• Agentic AI
• AI
• Azure
• Business Intelligence
• Cloud
• Copilot
• Data Warehouse
• Fabric
• Support
• JSON
• Kafka
• Machine Learning
• Oracle
• Power BI
• Python
• REST
• SQL
• Spark
• XML
• DAX
• ETL
• PySpark

More

We are seeking a versatile Data Scientist to join our team in Pittsburgh, PA. This is a direct hire opportunity with a hybrid schedule for candidates who currently reside in the Pittsburgh area. The role is not open to C2C, third-party submissions, or visa sponsorship. We work within a modern Microsoft Fabric environment that brings together OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream, Spark notebooks, and Power BI to support end-to-end analytics, data engineering, business intelligence, and AI-driven initiatives. By submitting to this position, candidates may be included in our talent pool for future opportunities with similarly qualified roles.

last updated 44 week of 2026