HR Data Scientist advancing KLA’s HR Analytics capability through AI and predictive insights. Collaborating with HR partners to provide data - driven decision - making support.
About the role
- Data Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.
Responsibilities
- Analyze client deployment data to quantify solution ROI, measuring fraud losses prevented, efficiency gains, and investigation time saved.
- Leverage consortium data from 2,700+ financial institutions to produce industry benchmark reports and peer performance comparisons.
- Partner with sales and marketing teams to create data-driven customer success stories, case studies, and presentation materials that demonstrate product effectiveness.
- Monitor aggregated data to identify emerging fraud trends and money laundering patterns, translating findings into thought leadership content.
- Present analytical insights to customers and stakeholders in executive briefings, quarterly business reviews, and industry conferences.
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data science or analytics roles
- Strong proficiency in SQL and Python (or R) for data analysis and visualization
- Excellent communication skills with proven ability to translate complex findings into compelling narratives for non-technical audiences
- Collaborative mindset with experience working across marketing, sales, and product teams in a matrixed environment
Benefits
- flexible work arrangements
- professional development programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Technology Analyst specializing in data science & analytics at Northern Trust. Involves projects in data science including investment management and technology management tasks.
Data Scientist leading the NLP Squad at Telefónica Tech. Driving AI solutions and data analysis while ensuring best practices in a collaborative team environment.
Lead Data Scientist driving innovation in personalization and data insight generation for ESPN's streaming products. Providing technical leadership and overseeing data science projects in a collaborative environment.
Data Manager managing data analytics consulting projects at PwC. Collaborating on data - driven solutions and overseeing implementation while maintaining client relationships.
Principal Data Science Engineer at Qodea leading development of AI - driven reasoning tools and recommendation systems. Collaborating to bridge advanced analytics with practical implementation in Buenos Aires.
Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data - driven decision - making while ensuring continuous innovation.
Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
Senior Data Scientist at Betclic developing data products and user experiences in an innovative gaming environment. Collaborating across teams to drive data - driven decisions and product improvements.
Senior Data Science Engineer developing and maintaining machine learning models for fintech company. Collaborating with cross - functional teams to drive product improvements and user insights.