Data Scientist

Veriipro; Phoenix (AZ); On-site; USD 110,000 - 165,000; Full time

Job summary

Veriipro is seeking an experienced Data Scientist to develop, validate, and deploy machine learning models, exposing actionable insights from complex datasets. The role focuses on predictive analytics, GIS-enabled analysis, and end-to-end ML lifecycle management.

You will work with Python, SQL, Power BI, and cloud-agnostic tools to deliver data-driven solutions, dashboards, and strategic business recommendations for diverse teams.

Qualifications

• Bachelor's degree in a quantitative field as listed in the posting.
• 5+ years of experience in Data Science, ML, or Predictive Analytics.
• Hands-on experience developing/validating ML models in Python.
• Strong SQL skills and experience with large datasets.
• Experience with supervised/unsupervised learning techniques.
• Experience in predictive analytics solutions.
• Hands-on experience with MLOps and model lifecycle management.
• Experience with data visualization and reporting tools such as Power BI.
• Strong analytical, problem-solving, and communication skills.
• Ability to translate analytical results into business recommendations.

Responsibilities

• Develop, validate, and deploy ML and predictive models using Python.
• Apply supervised and unsupervised learning to solve business problems.
• Perform statistical analysis, data mining, feature engineering, and EDA.
• Work with large datasets using advanced SQL.
• Develop data-driven forecasting and analytics solutions.
• Create dashboards and visualizations with Power BI to communicate insights.
• Apply GIS and spatial data analysis where applicable.
• Support end-to-end ML lifecycle from development to deployment and monitoring.
• Apply MLOps practices including CI/CD, deployment, and lifecycle management.
• Collaborate with stakeholders to translate findings into actionable recommendations.
• Communicate complex model results to technical and non-technical audiences.

Skills

Python

SQL

Power BI

MLOps

GIS / geospatial analytics

Machine Learning

Predictive Analytics

Data visualization

Communication skills

Problem-solving

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering

Master's degree preferred

Tools

Scikit-learn

TensorFlow

PyTorch

XGBoost

Power BI

Job description

We are seeking an experienced Data Scientist with strong expertise in machine learning, predictive analytics, SQL, and data science methodologies. The role will focus on developing and validating predictive models, extracting actionable insights from complex datasets, and applying advanced analytics to solve business problems.

The ideal candidate will have hands‑on experience with Python, machine learning, MLOps, large‑scale data analysis, visualization, and GIS/data analytics.

Roles & Responsibilities

• Develop, validate, and deploy machine learning and predictive models using Python.
• Apply supervised and unsupervised learning techniques to solve business and operational problems.
• Perform statistical analysis, data mining, feature engineering, and exploratory data analysis.
• Work with large and complex datasets using advanced SQL.
• Develop data‑driven solutions for forecasting, optimization, customer analytics, and operational analytics.
• Create dashboards and visualizations using tools such as Power BI to communicate insights effectively.
• Apply GIS and spatial data analysis techniques where applicable.
• Support the end-to-end machine learning lifecycle, including model development, deployment, monitoring, and optimization.
• Apply MLOps practices, including model versioning, CI/CD, deployment, monitoring, and lifecycle management.
• Collaborate with business and technical stakeholders to translate analytical findings into actionable recommendations.
• Communicate complex technical concepts and model results clearly to both technical and non‑technical audiences.

Required Qualifications & Skills

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.
• 5+ years of experience in Data Science, Machine Learning, Predictive Analytics, or a related field.
• Strong hands‑on experience developing and validating machine learning models using Python.
• Strong expertise in SQL and experience working with large datasets.
• Strong understanding of supervised and unsupervised learning techniques.
• Experience with statistical analysis, predictive modeling, data mining, and feature engineering.
• Experience developing predictive analytics solutions.
• Hands‑on experience with MLOps and machine learning model lifecycle management.
• Experience with data visualization and reporting tools such as Power BI.
• Strong analytical, problem‑solving, and communication skills.
• Ability to translate complex analytical results into clear business recommendations.
• Experience or background in GIS / geospatial data analytics.

Preferred Qualifications

• Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or another quantitative discipline.
• Experience with AWS, Azure, or other cloud platforms.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Experience with model deployment, monitoring, CI/CD pipelines, and automated ML workflows.
• Familiarity with forecasting, optimization, customer analytics, or operational analytics.
• Experience working with spatial datasets, geospatial analytics, or GIS platforms.