Sr Data Scientist

Das ist der Job

Apply statistical modeling, machine learning, and advanced analytics techniques to solve business problems.

Darum lohnt es sich

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

Accelerate business decision-making through modern analytics and AI capabilities. Pay and Benefits The pay range for this position is $70.00 - $95.00/hr.

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 This is a hybrid position in Durham, NC.

AI helps assess applications and qualifications, but final decisions are made by our hiring team. Top Skills' Details Data Science & Advanced Analytics Design and develop predictive, prescriptive, and generative AI solutions. Interpret large datasets and transform findings into actionable business recommendations.

Experience measuring model performance and business impact. AI & Generative AI 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.

Description Our client is seeking a highly skilled Data Scientist to help drive the organization's next generation of analytics and Artificial Intelligence initiatives.

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.

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.

Skills large language model, Generative AI, Agentic AI, azure data platform, SQL, Power BI Top Skills Details large language model, Generative AI, Agentic AI, azure data platform Additional Skills & Qualifications Required Qualifications 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.

Experience Level Expert Level Job Type & Location This is a Contract to Hire position based out of Durham, NC. Application Deadline This position is anticipated to close on Jul 17, 2026.

Legal Statements 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. By applying, you acknowledge and agree that your application may be reviewed using AI tools. #J-18808-Ljbffr