LexisNexis

Senior Data Scientist

LexisNexis

full-time

Posted on:

Location Type: Office

Location: Raleigh • North Carolina • 🇺🇸 United States

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Salary

💰 $102,800 - $171,300 per year

Job Level

Senior

Tech Stack

JavaPython

About the role

  • Leading and conducting advanced data analysis to drive business insights and decision-making.
  • Developing and implementing machine learning algorithms to solve complex business problems
  • Building and maintaining scalable data pipelines and infrastructure for optimal data extraction, transformation, and loading
  • Conducting in-depth analysis and interpretation of results to provide actionable recommendations to stakeholders
  • Collaborating with cross-functional teams to identify opportunities for leveraging company data to drive business solutions

Requirements

  • Have a master's or doctorate in a quantitative field such as Computer Science, Statistics, or Mathematics
  • Have excellent communication skills and the ability to convey information clearly to a wide audience
  • Be a natural problem solver and able to take a lead in collaborating to resolve issues
  • Have experience in leading complex projects and customer relationships
  • Have substantial experience in a Data Scientist role
  • Be adept at working in a dynamic, collaborative environment with a proficient problem-solving mindset
  • Be proficient in programming languages such as Python, R, or Java
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
  • In addition to annual Paid Time Off, we offer 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 analysismachine learning algorithmsdata pipelinesdata extractiondata transformationdata loadingPythonRJava
Soft skills
communication skillsproblem solvingcollaborationleadershipcustomer relationship management
Certifications
master's degreedoctorate