Data Scientist

Vaco; Cranberry Township (Butler County); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Vaco is seeking a versatile Data Scientist in Pittsburgh, PA, to design and optimize data pipelines while delivering advanced analytics. This direct hire position offers a hybrid work schedule.

Ideal candidates will have a strong background in Power BI, SQL, data modeling, and experience with Azure and Microsoft Fabric. You will work across various data platforms and support AI-driven initiatives.

Qualifications

• 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.

Responsibilities

• Design and develop interactive dashboards and analytical solutions in Power BI.
• Build KPI-driven dashboards for various analytics.
• Apply machine learning and AI techniques using Python.

Skills

Power BI

SQL

Python

Data Modeling

DAX

ETL/ELT concepts

Dashboard development

REST APIs

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics

Tools

Microsoft Fabric

Azure Synapse

Spark/PySpark

Dataflows Gen2

OneLake

Azure Data Factory

Azure Event Hub

Job description

Work Authorization: Candidates must currently reside in 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/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: Power BI, SQL, Python, Data Modeling, DAX, ETL/ELT concepts, Dashboard development, REST APIs, AI/ML tooling.
• Preferred: Microsoft Fabric, Azure Synapse, Spark/PySpark, Dataflows Gen2, OneLake, Azure Data Factory, Azure Event Hub.

EEO Notice

Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, 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 [e-mail]. 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 you 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 confidentiality, to the fullest extent permitted by law, of 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.