Data Scientist III

Key Responsibilities

Data Platform & Architecture

• Design and implement scalable data architectures including data lakes and data warehouses using Azure ecosystem (e.g., Microsoft Fabric, ADLS). 
• Define data models and storage strategies for structured and unstructured data. 

Data Pipeline Development

• Build and manage end-to-end data pipelines (ETL/ELT) to ingest, transform, and serve large-scale datasets. 
• Ensure reliability, performance, and scalability of data pipelines. 

Analytics Enablement

• Develop and standardize analytics frameworks and reusable data models to support reporting, BI, and advanced analytics. 
• Enable self-service analytics through curated datasets and semantic layers. 
• AI/ML, Analytics & Storytelling: Working knowledge of machine learning techniques and analytics use cases, with the ability to operationalize models within data platforms. Strong capability in data storytelling, translating complex data into intuitive visualizations and actionable insights for business stakeholders.

Hands-on Technical Leadership

• Remain hands-on with tools such as Python, SQL, and MS Fabric for data processing and transformation. 
• Guide the team on best practices in data engineering, modeling, and performance optimization. 

Team & Delivery Management

• Lead and mentor a team of data engineers / analysts / data scientists. 
• Drive project delivery across multiple initiatives, ensuring timelines and quality. 

Stakeholder Collaboration

• Work closely with business, analytics, and engineering teams to translate requirements into scalable data solutions. 
• Support downstream use cases including BI, reporting, and machine learning. 

Data Governance & Quality

• Establish data governance standards, including data quality, lineage, access control, and cataloging. 
• Ensure compliance with enterprise data policies. 

Qualifications

• Experience: 8–12 years in data engineering / data science / analytics, with 2–4 years in a managerial role. 
• Education: Bachelor’s/master’s in computer science, Data Engineering, Data Science, or related field. 

Technical Skills

• Core:
  • Advanced SQL (must-have) 
  • Strong Python for data processing (pandas, PySpark preferred) 
• Data Platforms: 
  • Hands-on experience with Microsoft Fabric, Azure Data Lake, Azure Synapse, Data Factory 
• Data Engineering: 
  • Strong expertise in ETL/ELT pipeline design, orchestration, and optimization 
  • Experience working with large-scale datasets (batch and near real-time) 
• Data Modeling: 
  • Strong understanding of data warehouse concepts (star/snowflake schema, dimensional modeling) 
• BI & Analytics: 
  • Working knowledge of Power BI / Tableau and semantic modeling

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day.

Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.

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