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Director Data Analyst Machine Learning Jobs in Raleigh, NC

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Oversee advanced data analysis, modeling, and machine learning to develop predictive and ...

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Oversee advanced data analysis, modeling, and machine learning to develop predictive and ...

This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics ...

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms. * Collaborate with other ML and software engineers to produce software/data ...

You will work with data, develop algorithms, evaluate results, and write the production code that ... Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or ...

Data and AI Analyst Location: Cary, NC (Hybrid) Duration: Long term Technically skilled Data and AI ... AI & Machine Learning • Assist in building and monitoring AI models using SAS Viya and other ...

Sr Data Analyst

Raleigh, NC · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

As a Machine Learning Engineer, you will help build and operate production systems that power our ... You'll work closely with data scientists and engineers to bring models into production ensuring ...

As a Machine Learning Engineer, you will help build and operate production systems that power our ... You'll work closely with data scientists and engineers to bring models into production ensuring ...

Experience deploying or operationalizing machine learning models in a production environment ... and modern analytics stacks. * Knowledge of data governance, data quality, and privacy best ...

Experience deploying or operationalizing machine learning models in a production environment ... and modern analytics stacks. * Knowledge of data governance, data quality, and privacy best ...

Experience deploying or operationalizing machine learning models in a production environment ... and modern analytics stacks. * Knowledge of data governance, data quality, and privacy best ...

Learning Analytics Analyst Duration: Fixed-term contingent role (Target End Date: 03/28/2027 ... We specialize in Contract and Contract to Permanent roles across many industries and have direct ...

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Showing results 1-20

Director Data Analyst Machine Learning information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do director data analyst machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for director data analyst machine learning in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Raleigh, NC? For Director Data Analyst Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Director Data Analyst Machine Learning jobs? Cities near Raleigh, NC with the most Director Data Analyst Machine Learning job openings:

Director, Data Sciences

LexisNexis

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

147th of 424 rated business services


Job description

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **
About our Team:
LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.
About the Role:
The Director, Data Sciences raises data-driven decision making of a function within a business unit through team leadership. They are also client/industry-facing, and they evangelize methodologies and best practices. They lead people and teams to develop an overall strategy for the execution of projects including creating use cases, roadmaps, alignment of stakeholders, and prioritization. This person acts as coach and leader of Managers and Data Scientists, as well as other resources. Influence should extend outside the director's immediate team to other teams within the director's peers. The Director drives development and implementation across the team to the business, rooted in a deep understanding of our customers, markets, trends, and challenges.
Responsibilities:
  • Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.
  • Team Management: Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
  • Advanced Research Direction: Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches.
  • Machine Learning and AI Solutions: Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
  • Data Collection and Preparation: Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.
  • Data Visualization Strategy: Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
  • Cross-functional Collaboration: Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.
  • Model Deployment and MLOps: Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.
  • Documentation Standards: Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.
  • Stakeholder Management: Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.
  • Budget and Resource Management: Manage departmental budget, resource allocation, and infrastructure needs for data science operations.
  • Ethical AI Governance: Develop and enforce ethical guidelines and best practices for AI development and deployment.

Requirements:
  • Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.
  • 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.
  • Demonstrated experience in managing and scaling data science teams of 15+ professionals.
  • Proven record of delivering high-impact AI and ML solutions that have driven significant business value.
  • Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.
  • Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.
  • Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.
  • Strong business acumen with the ability to translate complex technical concepts into business value.
  • Excellent communication and leadership skills, with experience presenting to executive leadership.
  • Experience working in a global or multicultural environment
  • Record of successful collaboration with product, engineering, and business teams.
  • Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.

Work in a way that works for you:
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business:
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
#AIFluency
U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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