Director, Data Sciences at Reed Technology

Raleigh, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

252800.0

Posted On

25 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data science, Machine learning, Artificial intelligence, Leadership, NLP, LLMs, Strategic planning, Team management, Predictive modeling, Prescriptive modeling, Data visualization, MLOps, Python, R, Big data technologies, Stakeholder management

Industry

IT Services and IT Consulting

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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what’s possible for the way our customers work and to advance what’s possible in the world by strengthening the rule of law.

Responsibilities

The Director of Data Sciences will define and execute the data science vision while leading and mentoring a high-performing team of data scientists. They are responsible for driving the development of AI and machine learning solutions to solve complex business problems and communicating impact to executive stakeholders.