Senior Data Scientist: ML, Analytics & Cloud Pipelines

Iron Bow Technologies; Washington (District of Columbia); On-site; USD 140,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) plan

Paid time off

Job summary

Iron Bow Technologies in Washington is seeking a Senior Data Scientist to leverage advanced analytics, machine learning, and predictive modeling techniques. You will analyze large datasets, develop predictive models, and communicate insights via reports and dashboards. Ideal candidates have strong Python skills, knowledge of statistical analysis, and experience with data visualization tools. This role offers a salary between $140,000 and $165,000, along with a comprehensive benefits package.

Qualifications

• Advanced proficiency in Python for data analysis, machine learning, and model development.
• Strong knowledge of statistical analysis, predictive modeling, and machine learning techniques.
• Ability to analyze and interpret large, complex datasets to identify trends and actionable insights.

Responsibilities

• Analyze large, complex datasets to identify patterns, trends, and anomalies that drive business insights.
• Develop, validate, and deploy predictive models and machine learning solutions.
• Design and deliver reports, dashboards, and data visualizations to communicate findings clearly.

Skills

Python for data analysis

Statistical analysis

Predictive modeling

Data visualization tools

SQL proficiency

Data preprocessing techniques

Cloud-based data platforms

Tools

Tableau

Power BI

Job description

Iron Bow Technologies in Washington is seeking a Senior Data Scientist to leverage advanced analytics, machine learning, and predictive modeling techniques. You will analyze large datasets, develop predictive models, and communicate insights via reports and dashboards. Ideal candidates have strong Python skills, knowledge of statistical analysis, and experience with data visualization tools. This role offers a salary between $140,000 and $165,000, along with a comprehensive benefits package.