Senior Data Scientist

FairSquare; Atlanta (GA); Hybrid; USD 100,000 - 160,000; Full time

Job summary

FairSquare is seeking a Senior Data Scientist to join its dynamic Data Science Department. This role involves working on advanced analytics and machine learning projects that support business decisions and drive performance. Ideal candidates will have a strong background in quantitative fields, with experience in fintech, and possess excellent programming skills in languages such as R and Python. This position offers a hybrid work environment with a competitive salary and benefits.

Benefits

401(k) Retirement Savings plan with employer match

Medical, dental, and vision insurance

Employee events throughout the year

Positive, energetic work environment

Qualifications

• 5+ years of experience in fintech or related fields.
• Strong proficiency in programming languages including Python and R.
• Hands-on experience with cloud platforms and big data technologies.

Responsibilities

• Develop and improve machine learning models for various applications.
• Perform data processing and integration tasks.
• Engage with stakeholders to understand compliance and business requirements.

Skills

Statistical modeling

Machine learning

Data analysis

Business communication

Education

Bachelor's degree in a quantitative field

Master's or PhD preferred

Tools

Python

R

SQL

AWS

GCP

Job description

Join to apply for the Senior Data Scientist role at FairSquare

Join to apply for the Senior Data Scientist role at FairSquare

- San Diego, CA or Atlanta, GA or New York

Hybrid Work, Full time M-F 8am-5pm PST, Working Onsite 2 days/week

Being authorized to work in the U.S. is a precondition of employment.

FairSquare is not considering candidates requiring 1099 or C2C.

Exempt/Salary: $100,000-$160,000 Base Salary, Position eligible for additional incentives including bonus, 401k match, health and welfare benefits.

FairSquare is continuing to grow its Data Science Department and has an exciting opportunity for a Senior Data Scientist.

The ideal candidate can identify objectives, scope requirements, and determine approaches to solution development independently. The candidate is able to apply advanced mathematical and statistical techniques (e.g. XGBoost, logistic regression, cluster analysis, neural networks, independence testing, etc..) to further results and develop organizational capabilities needed to fully exploit data as an asset.

Major Responsibilities

• Manipulate structured and unstructured datasets from disparate sources
• Perform data processing, integration, cleansing, descriptive analysis, visualization, and reporting
• Develop, document, monitor, and improved machine learning models for credit assessment, fraud detection, and other relevant customer lifecycle models
• Performs advanced analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
• Apply data analysis and modeling techniques to support business decisions
• Hands on role in deploying models and tracking performance metrics
• Implements projects from inception to completion, managing timelines and resources independently to deliver expected outcomes.
• Engage stakeholders to understanding business requirements (compliance, engineering, product, marketing, etc.)
• Provides consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
• Other duties as assigned.
  
  

Knowledge, Skills And Abilities Required

• Bachelor’s degree in computer science, engineering, mathematics, statistics, or a similar quantitative field, Master’s or PhD strongly preferred.
• 5+ years of experience in fintech, financial services, or a related industry applying advanced analytics, statistical modeling, and machine learning.
• Fluency in programming languages such as R, Python, SQL. familiarity with modern ML libraries (e.g., scikit-learn, XGBoost, TensorFlow)
• Experience developing supervised and unsupervised machine learning algorithms
• Hands-on experience with cloud platforms (e.g., AWS, GCP) and big data technologies (e.g., Snowflake, Hadoop. Expertise in working with relational databases.
• Strong proficiency in software development best practices, including the use of version control systems such as Git
• Strong business communication skills, including the ability to explain technical findings to non-technical audiences
• Adaptable and self-motivated, with the ability to operate effectively in a fast-paced, evolving environment
  
  

Why FairSquare?

Positive, energetic, passionate, business casual environment with management who commits to your success

Fantastic benefits package: Our current benefit package includes medical, dental, vision, life, LTD and AD&D insurance as well as a 401(k) Retirement Savings plan with an employer match.

Numerous employee events throughout the year, including our annual traditions such as a Day at the Del Mar Racetrack, Del Mar Mud Run, Bring Your Kid to Work Day, Holiday Party, Employee and Family Picnic, sporting events and more.

FairSquare is a holding company built to empower America’s small businesses. Dedicated to advancing growth and supporting success at every stage of the business journey, we provide transformative financial solutions through our diverse family of brands.

FairSquare is an Equal Opportunity Employer.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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