Data Scientist

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Work Authorization Candidates must currently reside in the Pittsburgh area and be available for a hybrid schedule. This opportunity is for direct hire only and is not available for C2C, third-party submissions, or visa sponsorship Data Scientist We are seeking a versatile Data Scientist to join our team in Pittsburgh, PA. This is a direct hire position offering a hybrid work schedule for candidates who currently reside in the Pittsburgh area. This role is not open to C2C, visa sponsorship, or third parties. Role Overview In this role, you will design, build, and optimize data pipelines while also delivering advanced analytics, predictive modeling, and business insights. You will work across modern cloud platforms and leverage Microsoft Fabric to unify data engineering, analytics, and business intelligence efforts. Microsoft Fabric’s integrated ecosystem supports OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream, Spark notebooks, and Power BI, making it well suited for this type of end-to-end analytics work. Key Responsibilities Design, develop, and maintain interactive dashboards and analytical solutions in Power BI, including Direct Lake semantic models, Copilot-enabled experiences, paginated reports, and executive scorecards. Power BI Copilot provides chat-based analysis and support for tasks such as DAX generation and on-the-fly analysis. Build KPI-driven dashboards for pricing analytics, POS sales trends, inventory optimization, supply chain performance, customer purchasing behavior, and branch/DC operational analytics. Enable self-service analytics through governed semantic models, curated datasets, and reusable reporting assets. Direct Lake semantic models are optimized for large data volumes in Fabric. Develop predictive and prescriptive models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment. Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI / OpenAI capabilities. Fabric supports Azure OpenAI and related AI services through integrated tooling. Support AI-driven initiatives such as Copilot-enabled analytics, conversational BI, sentiment analysis, speech-to-text analytics, and agentic AI use cases. Work extensively within the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream / Real-Time Intelligence, Spark notebooks, semantic models, and Power BI. Support ingestion and transformation of enterprise data from Oracle, SQL Server, APIs, SaaS platforms, XML/JSON log files, and event streaming platforms. Partner with Pricing, Sales, Supply Chain, Operations, and IT teams to translate business needs into technical analytics solutions and present findings to leadership. Contribute to enterprise data modernization and cloud transformation initiatives. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, or a related field. 3-5 years of experience in Data Analytics, Business Intelligence, Data Science, or a related analytics role. Strong experience with Power BI, SQL, data modeling, and dashboard development. Experience with Microsoft Azure and Microsoft Fabric. Proficiency in Python for analytics and data manipulation. Experience working with large enterprise datasets. Preferred Qualifications Experience with Microsoft Fabric services such as Lakehouse, Spark, Data Factory, Real-Time Analytics, and semantic models. Familiarity with machine learning frameworks and core AI/ML concepts. Knowledge of pricing analytics, supply chain analytics, inventory optimization, and wholesale/distribution analytics. Experience with REST APIs, event streaming, Kafka/Event Hub, and XML/JSON data processing. Familiarity with cloud data warehouse modernization initiatives. Microsoft certifications in Azure, Power BI, Fabric, or Data Engineering are a plus. Technical Skills Required Preferred Required Preferred Power BI Microsoft Fabric SQL Azure Synapse Python Spark / PySpark Data Modeling Dataflows Gen2 DAX OneLake ETL/ELT Concepts Azure Data Factory Dashboard Development Azure Event Hub REST APIs AI/ML Tooling

Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:

• the individual’s skill sets, experience and training;
• licensure and certification requirements;
• office location and other geographic considerations;
• other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring’s use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client’s use of AI products in hiring.