Power BI

CareerCircle
Durham, United States of America
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 198K

Job location

Remote
Durham, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Software Applications
Computing Platforms
Azure
Information Engineering
Data Transformation
Data Visualization
Software Debugging
Decision Support Systems
Graph Database
Python
Knowledge Management
Machine Learning
Microsoft Data Access Components
Language Modeling
Power BI
Azure
Search Technologies
SQL Databases
Enterprise Search
Reinforcement Learning
Azure
PyTorch
Large Language Models
Multi-Agent Systems
Prompt Engineering
Deep Learning
Generative AI
Microsoft Fabric
Kubernetes
Information Technology
HuggingFace
Tools for Reporting
Virtual Agents

Job description

Our client is seeking a highly skilled Data Scientist to help drive the organization's next generation of analytics and Artificial Intelligence initiatives. This individual will partner closely with business leaders and technical teams to identify opportunities where advanced analytics, machine learning, and AI can create measurable business value. The role combines deep analytical expertise with strong business acumen, helping transform ideas into practical solutions that improve decision making, operational efficiency, and customer outcomes. The successful candidate will play a key role in exploring emerging AI capabilities while supporting the company's broader data transformation journey.

Responsibilities:

  • Partner with business stakeholders to identify high-impact analytics and AI opportunities.

  • Develop predictive models, machine learning solutions, and AI-powered applications.

  • Evaluate emerging AI technologies and recommend practical business use cases.

  • Deliver insights and recommendations that support strategic business decisions.

  • Collaborate with Data Engineering teams to ensure data is accessible, accurate, and scalable.

  • Design experiments and proof-of-concepts to validate business value.

  • Present findings and recommendations to technical and executive audiences.

  • Assist in establishing best practices for AI and advanced analytics initiatives., Cary, NC*Remote Patents Planning Research Debugging LangChain Pipelines Operations Automation Algorithms Kubernetes LlamaIndex Agentic AI Scalability Core Product Data Science Communication Observability Deep Learning AWS SageMaker Hallucinations Problem Solving Semantic Search Knowledge Graph Legal Citations Language Models Machine Learning BERT (NLP Model) Enterprise Search Business Valuation Prompt Engineering Workflow Management Amazon Web Services Product Engineering Multi-Agent Systems Shepard's Citations Knowledge Management Full Stack Development Reinforcement Learning Knowledge Distillation Artificial Intelligence Large Language Modeling Business Transformation Business Risk Management SQL (Programming Language) Machine Learning Algorithms Hugging Face (NLP Framework) Python (Programming Language) Retrieval Augmented Generation Artificial Intelligence Strategy Generative Artificial Intelligence PyTorch (Machine Learning Library) Transformer (Machine Learning Model) Artificial Intelligence Infrastructure Application Programming Interface (API)

Requirements

Communication Presentations Business Acumen Microsoft Azure Problem Solving Reporting Tools Decision Making Language Models Computer Science Machine Learning Data Engineering Microsoft Fabric Business Problems Advanced Analytics Business Valuation Scalability Design Prompt Engineering Business Strategies Predictive Modeling Data Transformation Statistical Modeling Predictive Analytics Full Stack Development Operational Efficiency Artificial Intelligence Business Transformation SQL (Programming Language) Data-Driven Decision Making Generative Artificial Intelligence, Understanding of LLMs, Generative AI, Copilot technologies, AI agents, and emerging AI capabilities.

  • Experience evaluating AI use cases and identifying practical applications.

  • Ability to rapidly prototype and validate AI-driven solutions.

  • Knowledge of prompt engineering, retrieval architectures, and AI-assisted business workflows.

Business Problem Solving

  • Ability to work directly with business stakeholders to identify opportunities.

  • Translate ambiguous business challenges into data science solutions.

  • Prioritize initiatives based on business value and ROI.

  • Focus on measurable outcomes rather than technical experimentation.

Data Visualization & Storytelling

  • Ability to communicate findings to both technical and non-technical audiences.

  • Develop dashboards, analytical presentations, and executive-ready insights.

  • Drive adoption of data-driven decision making.

Microsoft Data & Analytics Ecosystem

  • Experience working within Microsoft-centric environments.

  • Familiarity with Power BI, Microsoft Fabric, Azure AI services, Azure Data Platform technologies, and enterprise reporting tools.

  • Understanding of how data science solutions integrate into broader data engineering and analytics frameworks., large language model, Generative AI, Agentic AI, azure data platform, SQL, Power BI, Advanced degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field (or equivalent experience).

  • Strong experience in machine learning, predictive analytics, and statistical modeling.

  • Experience working directly with business stakeholders.

  • Strong communication and presentation skills.

  • Experience delivering measurable business outcomes from analytics initiatives.

Preferred Qualifications

  • Experience with Generative AI technologies.

  • Experience building AI-driven products or business solutions.

  • Experience within Microsoft Azure environments.

  • Familiarity with Microsoft Fabric and Power BI.

  • Retail, consumer products, manufacturing, or supply chain analytics experience.

  • Experience operationalizing machine learning models in enterprise environments., Presentations Business Acumen Microsoft Azure Problem Solving Reporting Tools Decision Making Language Models Computer Science Machine Learning Data Engineering Microsoft Fabric Business Problems Advanced Analytics Business Valuation Scalability Design Prompt Engineering Business Strategies Predictive Modeling Data Transformation Statistical Modeling Predictive Analytics Full Stack Development Operational Efficiency Artificial Intelligence Business Transformation SQL (Programming Language) Data-Driven Decision Making

Benefits & conditions

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

  • Medical, dental & vision
  • Critical Illness, Accident, and Hospital
  • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
  • Life Insurance (Voluntary Life & AD&D for the employee and dependents)
  • Short and long-term disability
  • Health Spending Account (HSA)
  • Transportation benefits
  • Employee Assistance Program
  • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type

About the company

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company., We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Sr Data Scientist TEKsystems Durham, NC*Remote Power BI Dashboard AI Agents Operations Leadership Statistics Agentic AI Mathematics Supply Chain

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