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
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.
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.
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.
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/or Microsoft Fabric.
Proficiency in Python for analytics and data manipulation.
Experience working with large enterprise datasets.
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.
| 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 |
Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact
HR@vaco.com
.Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
For residents of Ontario, Canada: Based on Highspring’s discussions with its Client, Highspring’s understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly).
Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.
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.
Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:
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.