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À propos
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. The Analytic Customer Management team at LexisNexis Risk Solutions delivers actionable insights that fuel product growth. We respond to client needs, conduct both proactive and reactive analyses, and present findings that help uncover new opportunities. It's a fast-paced, problem-solving environment where each day brings fresh challenges and meaningful impact. We're seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data mining and analytics to deliver impactful insights and scalable solutions. Responsibilities
Build and deploy machine learning models using R, Python, SAS, and SQL. Develop cloud-based analytic solutions and integrate them into enterprise systems. Analyze large datasets to uncover insights and support product development. Collaborate with stakeholders to validate scoring code and ensure model accuracy. Document methodologies and follow best practices in statistical modeling. Requirements
Computer Science, Statistics, Mathematics, or related field Experience in predictive modeling. Proficiency in SAS, R, Python, and Big Data technologies. Strong communication skills and ability to work cross-functionally. Fraud analytics experience is a plus. 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 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 The salary range provided in this posting is the base salary range for Minnesota: $77,300.00 - $128,700.00 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. 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.
Compétences idéales
- Big Data
- Data Mining
- Machine Learning
- Predictive Modeling
- Python
- R
- SAS
- SQL
- Statistical Modeling
Expérience professionnelle
- Data Scientist
Compétences linguistiques
- English
Avis aux utilisateurs
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