Senior Data Scientist
LexisNexis
JavaPython
Director, Data Sciences
LexisNexis
full-time
Posted on:
Location Type: Office
Location: Raleigh • North Carolina • 🇺🇸 United States
Visit company websiteSalary
💰 $133,400 - $247,800 per year
Job Level
Lead
Tech Stack
Python
About the role
- Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities
- Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning
- 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
- Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems
- Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes
- Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability
- Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively
- Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges
- Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability
- Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility
- Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders
- Manage departmental budget, resource allocation, and infrastructure needs for data science operations
- 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.)
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningartificial intelligencenatural language processinglarge language modelsgenerative AIstatistical analysisdata manipulationMLOpspredictive modeling
Soft skills
leadershipcommunicationcollaborationinnovationmentoringbusiness acumenstrategic thinkingteam managementpresentation skillscross-functional collaboration
Certifications
Ph.D. in Data ScienceMasters in Data ScienceBachelors in Data ScienceMBAcertification in machine learningcertification in data sciencecertification in artificial intelligencecertification in statistical analysiscertification in MLOpscertification in data visualization