Job Description

We are looking for a highly motivated Data Scientist to join our team and support critical projects across the company. This role involves building machine learning (ML) and statistical models, performing statistical analyses, and contributing to the development of a Fraud Detection team. The ideal candidate should be ready to dive in, work in a high-expectation environment, and quickly adapt to our processes and systems.



Data Scientist Responsibilities:

• Develop and implement machine learning models and statistical analyses to support various company functions
  
• Collaborate with teams across the organization to identify data-driven solutions to business challenges
  
• Work on fraud detection initiatives, leveraging advanced analytics to identify and mitigate risks
  
• Utilize our home-grown Python-based model deployment platform (easy to learn for Python users) to deploy models efficiently
  
• Conduct exploratory data analysis and create compelling visualizations using tools like Seaborn and Plotly
  
• Work with AWS services, particularly SageMaker, as we migrate production systems and data science processes
  
• Write and optimize SQL queries for data extraction and analysis (expert-level SQL skills not required)
  
• Stay current with advancements in machine learning, statistical methods, and data science best practices
  

Data Scientist Requirements:

• Strong background in Mathematics, Statistics, or a related quantitative field
  
• Proficiency in Python and key libraries such as scikit-learn, NumPy, Pandas, and Jupyter Notebooks
  
• Experience with data visualization tools like Seaborn and Plotly
  
• Basic knowledge of SQL for data manipulation and analysis
  
• Ability to work independently in a fast-paced, high-expectation environment
  

• Industry experience in data science or machine learning (not required but beneficial)
  
• Familiarity with AWS services, especially SageMake
  
• Experience working with fraud detection models or risk analytics
  
• Understanding of best practices for model deployment and data science workflows
  

Data Scientist Benefits:

• Work on high-impact projects that drive real business value
  
• Be part of a growing team focused on fraud detection and advanced analytics
  
• Leverage cutting-edge tools and technologies in a supportive and fast-paced environment
  
• Competitive compensation and opportunities for professional development
  

Apply today to take the next step in your career!


Scott Kohut
Senior Project Manager
LaSalle Network

LaSalle Network is an Equal Opportunity Employer m/f/d/v.

LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Marketing, Technology, Supply chain, Healthcare Revenue Cycle, Call Center, Human Resources and Executive Search. LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.

LaSalle Network is the premier staffing and recruiting firm, earning over 100 culture, revenue and industry-based awards from major publications and having its company experts regularly contribute insights on retention strategies, hiring trends and hiring challenges, and more to national news outlets. LaSalle Network offers temporary Field Employees benefit plans including medical, dental and vision coverage. Family Medical Leave, Worker's compensation, Paid Leave and Sick Leave are also provided. View a full list of our benefits here:

LNPW

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 10267485
• Position Id: 149715-262

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