For our client, we are seeking a Data Scientist to join the team of a leader in the Enterprise Technology space. This role will turn data into practical insight that improves visibility, decision-making, and business performance. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $115,400 – $192,300 annually
Responsibilities
- Analyze data and optimize models using tools from LexisNexis Risk Solutions
- Consult on customer-focused projects, delivering actionable insights and analytics
- Drive innovation through research and development of new tools and methodologies
- Present complex data patterns clearly to non-technical stakeholders
- Establish and maintain best practices for data-driven projects
- Collaborate with cross-functional teams to improve product offerings and services
- Continuously identify customer needs and apply evolving analytics solutions
Qualifications
- 5-7 years of experience in data science or analytics with a focus on fraud detection
- Strong proficiency in SQL, Python, Excel, and LUA programming languages
- Experience with BI tools such as SuperSet, PowerBI, and Snowflake
- Familiarity with version control tools like Git and project management software like Jira
- Strong problem-solving skills and an ability to deliver insights using data
Benefits
- Comprehensive medical insurance covering both inpatient and outpatient services
- Life assurance policies providing financial security for family members
- Supportive family benefits related to maternity, paternity, and adoption
- Recognition awards for long-term service and dedication
- Flexible benefits plan allowing customization according to individual needs
- Employee assistance program to support both personal and work-related challenges
- Flexibility in working arrangements to promote work-life balance
- Access to a wealth of learning and development resources for professional growth
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.