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Data Scientist

Vaco
$110,000.00 - $130,000.00 / yr
United States, Pennsylvania, Cranberry
Jun 29, 2026
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 versatileData Scientistto 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/or 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

Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

EEO Notice

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.

Privacy Notice

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.

  • California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
  • Virginia residents may access our state specific policies here.
  • Residents of all other states may access our policies here.
  • Canadian residents may access our policies in English here and in French here.
  • Residents of countries governed by GDPR may access our policies here.
Pay Transparency Notice

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.

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