Data Scientist - Remote USA
$81,499.00 - $138,549.00
Apply (opens in a new tab)Data Scientist - Remote USA
Posted 3 days ago
SENIORITY
Senior
SALARY
$81,499.00 - $138,549.00
About the role
- Use SQL and Python to extract, clean, transform, and analyze structured data from PostgreSQL and other approved sources.· Perform exploratory data analysis to identify patterns, trends, anomalies, and data-quality issues.· Assist with the development, testing, and documentation of statistical analyses, machine-learning models, and analytical workflows.· Develop and support notebooks and repeatable analytical workflows in Databricks.· Create and maintain clear visualizations, datasets, and reports for DataConnect using AWS QuickSight.· Validate analytical outputs and document assumptions, methods, limitations, and results.· Partner with data engineers to define data needs, resolve quality issues, and improve the usability of analytical datasets.· Translate business questions into measurable analyses with guidance from senior team members and stakeholders.· Write reusable, version-controlled code and basic unit tests for analytical functions and data transformations.· Present findings through concise written summaries, visualizations, and team demonstrations.· Follow established standards for data privacy, security, governance, and responsible use of data.· Participate in Agile planning, refinement, peer reviews, and continuous learning activities.· Other duties as assigned.
- Bachelor's degree· 2+ years of experience using Python for data analysis, data preparation, and statistical modeling· Candidate must be able to obtain and maintain a Public Trust clearance.· Candidate must reside in the United States, be authorized to work in the United States, and have lived in the United States for three full years out of the last five years. What you will bring· Bachelor's degree data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative field.· Academic, internship, project, or professional experience using Python for data analysis.· Foundational SQL skills, including joins, aggregations, filtering, and data validation.· Understanding of core statistics, data preparation, exploratory analysis, and model-evaluation concepts.· Ability to communicate analytical methods and findings clearly in writing and presentations.· Ability to work collaboratively, manage assigned tasks, and incorporate feedback.· Experience with PostgreSQL or another relational database platform.· Experience using Databricks, Spark, notebooks, or cloud-based analytics platforms.· Experience creating data visualizations or dashboards with AWS QuickSight or a comparable business-intelligence tool.· Experience with common Python data-science libraries such as pandas, NumPy, scikit-learn, or PySpark.· Familiarity with TypeScript and its use in data applications, dashboards, services, or integrations.· Familiarity with Git, code reviews, unit testing, CI/CD, or Agile development practices.· Exposure to data governance, metadata, data quality, privacy, or responsible AI practices.· Experience working with health, public-sector, or other regulated data environments.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
