Remote Technology Data Scientist — ML & Analytics

RIZEUP TECHNOLOGY TRAINING LLC; Washington (District of Columbia); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Opportunity for advancement

Training & development

Wellness resources

Job summary

RIZEUP TECHNOLOGY TRAINING LLC seeks a Technology Data Scientist to transform complex data into actionable insights. You will partner with technology teams and leadership to support data-driven decisions, enhance product performance, and drive innovation across the organization.

The role involves building predictive models, analyzing large datasets with Python/R/SQL, and communicating findings through dashboards and reports. Flexible remote options apply.

Qualifications

• Bachelor's degree in a quantitative field as listed.
• Proficiency in Python or R, SQL and data visualization tools.
• Experience building machine learning models and applying statistics.
• Familiarity with cloud technologies and modern data architecture.
• Ability to translate results into actionable insights for non-technical audiences.

Responsibilities

• Develop, implement, and maintain predictive models and ML solutions.
• Lead data analyses to identify trends, anomalies, and optimization opportunities.
• Design data pipelines and ensure data quality with engineering teams.
• Communicate insights via dashboards and reports to stakeholders.
• Collaborate with product and tech teams on data-driven initiatives.
• Support adoption of AI/ML platforms, cloud analytics, and automation frameworks.
• Ensure data governance, security, and ethical use of data.

Skills

Python

R

SQL

Power BI

Tableau

Git

Spark

Databricks

Education

Bachelor's degree in Data Science/CS/Statistics/Engineering

Tools

Git

Spark

Databricks

Job description

RIZEUP TECHNOLOGY TRAINING LLC seeks a Technology Data Scientist to transform complex data into actionable insights. You will partner with technology teams and leadership to support data-driven decisions, enhance product performance, and drive innovation across the organization.

The role involves building predictive models, analyzing large datasets with Python/R/SQL, and communicating findings through dashboards and reports. Flexible remote options apply.