Data Scientist II (Remote/ Hybrid MA or MN)

About The Business

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. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About The Role

As a Data Scientist II, you will analyze complex data and create predictive models to solve business problems. You will collaborate with teams to advise on strategies that boost business growth.

About Our Team

The Product Research and Development Data Science team develops and supports best-in-class analytic solutions through our expertise and superior cross-functional collaboration. We are dedicated to creating responsible solutions to increase financial transparency and inclusion in the market.

Ideal candidate is in the Minneapolis or Boston area - can be hybrid or remote.

Responsibilities

• Conducting statistical analysis and modeling to identify patterns and trends in large data sets.
• Developing and deploying machine learning algorithms to improve predictive accuracy and efficiency.
• Collaborating with business stakeholders to understand their needs and translate them into data-driven solutions.
• Creating data visualizations and dashboards to communicate insights to non-technical stakeholders.
• Identifying opportunities for process improvement and automation using data analysis.
• Conducting A/B testing to evaluate the effectiveness of different business strategies.
• Mentoring junior team members and providing guidance on best practices in data science.
• Staying up-to-date with the latest developments in data science and machine learning.

Requirements

• Preferred Masters Degree - quantitative skills shown through completion of academic studies in math, statistics, or CS.
• Be able to program in languages such as Python, R, or SQL.
• Be skilled in statistical analysis, machine learning, and data visualization using Scikit-learn, TensorFlow, or Tableau.
• Be able to communicate technical concepts to non-technical stakeholders.
• Have experience working with large and complex data sets.
• Be able to work independently as well as collaboratively in a team environment.
• Display exceptional analytical and problem-solving abilities.
• Be able to manage multiple projects and priorities simultaneously.

Benefits

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:$70,200.00 - $117,100.00

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

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. 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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.