Data Scientist II (Remote/ Hybrid MA or MN)

Lensa; Saint Paul (MN); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Data Scientist II to analyze complex data and create predictive models. The role involves statistical analysis, machine learning, and collaboration with teams to drive business growth. Ideal candidates will have a Master's degree and proficiency in Python or R, with options for remote or hybrid work.

Qualifications

• Preferred Master's Degree in math, statistics, or CS.
• Proficiency in Python, R, or SQL.
• Experience with large, complex data sets.

Responsibilities

• Conduct statistical analysis and modeling to identify patterns.
• Develop and deploy machine learning algorithms.
• Create data visualizations and dashboards for non-technical audiences.

Skills

Statistical Analysis

Machine Learning

Data Visualization

Problem Solving

Education

Master's Degree in math, statistics, or CS

Tools

Python

R

SQL

Scikit-learn

TensorFlow

Tableau

Job description

Data Scientist II (Remote/ Hybrid MA or MN)

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About The Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer solutions focused on helping businesses of all sizes drive revenue, maximize operational efficiencies, and improve customer experience. Our solutions address Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. Learn more at 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. 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 analytic solutions through expertise and collaboration. We aim to create responsible solutions to increase financial transparency and inclusion.

Ideal candidates are in the Minneapolis or Boston area, with hybrid or remote options.

Responsibilities

• Conduct statistical analysis and modeling to identify patterns in large data sets.
• Develop and deploy machine learning algorithms to enhance predictive accuracy.
• Collaborate with stakeholders to translate needs into data-driven solutions.
• Create data visualizations and dashboards for non-technical audiences.
• Identify opportunities for process improvement and automation.
• Conduct A/B testing to evaluate strategies.
• Mentor junior team members and share best practices.
• Stay updated with the latest in data science and machine learning.

Requirements

• Preferred Master's Degree in math, statistics, or CS.
• Proficiency in Python, R, or SQL.
• Skills in statistical analysis, machine learning, and data visualization (e.g., Scikit-learn, TensorFlow, Tableau).
• Ability to communicate technical concepts to non-technical stakeholders.
• Experience with large, complex data sets.
• Ability to work independently and in teams.
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects simultaneously.