Senior Data Scientist - ML, Python

Sapsf; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Sapsf is seeking a Senior Data Scientist to design and deploy data science and ML solutions across the data lifecycle, from exploration and feature engineering to model deployment in production environments.

The role emphasizes Python and SQL proficiency, collaboration with cross-functional teams, and the use of cloud-based analytics platforms to scale models and drive decision making.

Qualifications

• Proficient in Python and SQL for data analysis and modeling.
• Experience with ML/statistical modeling and model evaluation.
• Experience with cloud-based data/analytics platforms.
• Data preparation and feature engineering.

Responsibilities

• Develop and deploy data science and ML solutions from data exploration to production.
• Perform feature engineering, model development, validation and productionization.
• Collaborate with teams to operationalize analytics on cloud platforms.

Skills

Python

SQL

Machine learning

Statistical modeling

Data preparation

Model evaluation

Cloud platforms

Job description

Career Opportunities: Senior Data Scientist - ML, Python (175145)

Requisition ID175145-Posted10/07/2026

Responsible for developing and deploying data science and machine-learning solutions, including data exploration, feature engineering, model development, validation, and productionization.

Mandatory skills: Python, SQL, machine learning/statistical modeling, data preparation, model evaluation, and experience working with cloud-based data/analytics platforms.

Key Responsibilities

Responsible for developing and deploying data science and machine-learning solutions, including data exploration, feature engineering, model development, validation, and productionization.

Mandatory skills: Python, SQL, machine learning/statistical modeling, data preparation, model evaluation, and experience working with cloud-based data/analytics platforms.

Skill Requirements

Responsible for developing and deploying data science and machine-learning solutions, including data exploration, feature engineering, model development, validation, and productionization.

Mandatory skills: Python, SQL, machine learning/statistical modeling, data preparation, model evaluation, and experience working with cloud-based data/analytics platforms.