Data Scientist
Role details
Job location
Tech stack
Job description
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., + Build and deploy machine learning models using R, Python, SAS, and SQL.
Requirements
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Computer Science, Statistics, Mathematics, or related field
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Experience in predictive modeling.
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Proficiency in SAS, R, Python, and Big Data technologies.
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Strong communication skills and ability to work cross-functionally.
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Fraud analytics experience is a plus.
Benefits & conditions
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:
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Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
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Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
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Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
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Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
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Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
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Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
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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
Learn more about the LexisNexis Risk team and our culture here (https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000) .
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.