Data Scientist (Contract-to-Hire)
Location: Remote (United States, excluding California)
Duration: 6-Month Contract with Potential for Full-Time Conversion
Pay Rate: $70-$75/hour
No sponsorship available now or in the future.
Interview Process
- Recruiter Screen
- Take-Home Case Study
- Panel Presentation & Technical Interview
- Final Leadership Interview
About the Company
Our client is a rapidly growing public fintech organization transforming how businesses and consumers move money. Their platform powers secure, seamless payment experiences across multiple channels and serves a broad customer base nationwide.
The company continues to invest heavily in data, artificial intelligence, and machine learning to drive innovation across its products and operations. With a collaborative culture, strong leadership, and a commitment to technology-driven growth, this is an opportunity to join a team where data science plays a strategic role in shaping business outcomes.
About the Opportunity
We're seeking a Data Scientist to join a highly collaborative 7-person team comprised of Data Scientists, Data Engineers, Analytics Engineers, and Data Quality Engineers.
This role will focus heavily on exploratory data analysis, identifying meaningful patterns in large datasets, and developing statistical and machine learning models that drive business value. The individual will also help build and optimize AI-powered solutions, including large language model (LLM) orchestration and generative AI applications.
This is an excellent opportunity for someone who enjoys working across the full lifecycle of AI and machine learning solutions, from data exploration and experimentation through deployment and production optimization.
What You'll Do
- Perform exploratory data analysis to uncover trends, patterns, and business opportunities
- Build, test, and optimize machine learning models
- Develop statistical models for prediction, classification, clustering, and optimization
- Design and support AI-powered applications utilizing Large Language Models (LLMs)
- Build and enhance LLM orchestration frameworks and workflows
- Partner directly with business stakeholders to understand challenges and translate them into technical solutions
- Create scalable data and machine learning pipelines
- Work within modern cloud-based analytics and AI platforms
- Present findings, recommendations, and technical solutions to both technical and non-technical audiences
- Contribute to innovation initiatives across data science, machine learning, and generative AI
Required Qualifications
- 4+ years of experience in Data Science, Machine Learning, Data Engineering, or related disciplines
- Strong Python development experience
- Hands-on experience with PySpark
- AWS experience
- Experience building and deploying machine learning solutions
- Experience working with AI orchestration frameworks such as LangChain, LangGraph, or similar libraries
- Strong understanding of statistical modeling and advanced analytics
- Outstanding verbal and written communication skills
- Comfortable presenting technical concepts and recommendations to business stakeholders
Preferred Qualifications
- Databricks experience
- Experience working with Large Language Models (LLMs)
- Experience developing generative AI applications
- Experience with Retrieval-Augmented Generation (RAG) solutions
- Exposure to MLOps and cloud-native machine learning platforms
What Success Looks Like
The ideal candidate is equally comfortable analyzing complex datasets, building sophisticated AI solutions, and communicating insights to business leaders. You'll thrive in this role if you enjoy solving ambiguous problems, experimenting with emerging AI technologies, and delivering solutions that directly impact products, operations, and customer experiences.
If you're excited about machine learning, generative AI, LLMs, and applying advanced analytics to real-world business challenges, we'd love to connect.
Data Scientist (Contract-to-Hire)
Location: Remote (United States, excluding California)
Duration: 6-Month Contract with Potential for Full-Time Conversion
Pay Rate: $70-$75/hour
No sponsorship available now or in the future.
Interview Process
- Recruiter Screen
- Take-Home Case Study
- Panel Presentation & Technical Interview
- Final Leadership Interview
About the Company
Our client is a rapidly growing public fintech organization transforming how businesses and consumers move money. Their platform powers secure, seamless payment experiences across multiple channels and serves a broad customer base nationwide.
The company continues to invest heavily in data, artificial intelligence, and machine learning to drive innovation across its products and operations. With a collaborative culture, strong leadership, and a commitment to technology-driven growth, this is an opportunity to join a team where data science plays a strategic role in shaping business outcomes.
About the Opportunity
We're seeking a Data Scientist to join a highly collaborative 7-person team comprised of Data Scientists, Data Engineers, Analytics Engineers, and Data Quality Engineers.
This role will focus heavily on exploratory data analysis, identifying meaningful patterns in large datasets, and developing statistical and machine learning models that drive business value. The individual will also help build and optimize AI-powered solutions, including large language model (LLM) orchestration and generative AI applications.
This is an excellent opportunity for someone who enjoys working across the full lifecycle of AI and machine learning solutions, from data exploration and experimentation through deployment and production optimization.
What You'll Do
- Perform exploratory data analysis to uncover trends, patterns, and business opportunities
- Build, test, and optimize machine learning models
- Develop statistical models for prediction, classification, clustering, and optimization
- Design and support AI-powered applications utilizing Large Language Models (LLMs)
- Build and enhance LLM orchestration frameworks and workflows
- Partner directly with business stakeholders to understand challenges and translate them into technical solutions
- Create scalable data and machine learning pipelines
- Work within modern cloud-based analytics and AI platforms
- Present findings, recommendations, and technical solutions to both technical and non-technical audiences
- Contribute to innovation initiatives across data science, machine learning, and generative AI
Required Qualifications
- 4+ years of experience in Data Science, Machine Learning, Data Engineering, or related disciplines
- Strong Python development experience
- Hands-on experience with PySpark
- AWS experience
- Experience building and deploying machine learning solutions
- Experience working with AI orchestration frameworks such as LangChain, LangGraph, or similar libraries
- Strong understanding of statistical modeling and advanced analytics
- Outstanding verbal and written communication skills
- Comfortable presenting technical concepts and recommendations to business stakeholders
Preferred Qualifications
- Databricks experience
- Experience working with Large Language Models (LLMs)
- Experience developing generative AI applications
- Experience with Retrieval-Augmented Generation (RAG) solutions
- Exposure to MLOps and cloud-native machine learning platforms
What Success Looks Like
The ideal candidate is equally comfortable analyzing complex datasets, building sophisticated AI solutions, and communicating insights to business leaders. You'll thrive in this role if you enjoy solving ambiguous problems, experimenting with emerging AI technologies, and delivering solutions that directly impact products, operations, and customer experiences.
If you're excited about machine learning, generative AI, LLMs, and applying advanced analytics to real-world business challenges, we'd love to connect.
