Senior Data Scientist

Fint Solutions; Provo (UT); On-site; USD 100,000 - 150,000; Full time

Job summary

Fint Solutions in Provo, UT is seeking a Data Scientist to analyze large datasets, build predictive models, and provide data-driven insights to improve customer experience and business performance.

The role emphasizes analytics, machine learning, and statistical modeling with collaboration across Product, Marketing, and Business teams to drive data-driven decisions and deliver actionable dashboards to stakeholders.

Qualifications

• Strong background in analytics, ML, and statistical modeling.
• Experience with cloud platforms and scalable data pipelines.
• Proven ability to derive actionable insights from large datasets.

Responsibilities

• Analyze customer and business data to identify trends and opportunities.
• Develop predictive models for recommendations, customer retention, and sales forecasting.
• Perform customer segmentation and marketing analytics.
• Collaborate with Product, Marketing, and Business teams to drive data-driven decisions.
• Build dashboards and present insights to stakeholders.

Skills

Python

SQL

Machine Learning

Statistical Analysis

Data Visualization

A/B Testing

Customer Analytics

Cloud Platforms (AWS/Azure/GCP)

E-commerce domain experience

Tools

Databricks

Spark

Big Data tools

Job description

We are looking for a Data Scientist with strong experience in analytics, machine learning, and statistical modeling to support business growth. The candidate will analyze large datasets, build predictive models, and provide data-driven insights to improve customer experience and business performance.Required Skills

• Python and SQL
• Machine Learning & Statistical Analysis
• Data Visualization (Tableau/Power BI)
• A/B Testing and Customer Analytics
• Experience with AWS, Azure, or Google Cloud Platform
• E-commerce or Retail domain experience

Responsibilities

• Analyze customer and business data to identify trends and opportunities.
• Develop predictive models for recommendations, customer retention, and sales forecasting.
• Perform customer segmentation and marketing analytics.
• Collaborate with Product, Marketing, and Business teams to drive data-driven decisions.
• Build dashboards and present insights to stakeholders.

Preferred

• Experience with Databricks, Spark, or Big Data tools.
• Knowledge of Recommendation Systems and Personalization Models.
• Experience with Generative AI or NLP is a plus.
• Experience in E- commerce domain