Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement sophisticated analytics solutions.

• Create scalable data pipelines and analytics workflows utilizing Databricks, PySpark, Delta Lake, and notebooks.

• Develop dynamic dashboards and reports using Power BI.

• Construct and maintain Power BI data models along with DAX measures.

• Enhance query performance, processing time, and overall data efficiency.

• Collaborate with business stakeholders to convert analytical requirements into technical solutions.

• Conduct exploratory data analysis, feature engineering, and the development of machine learning models.

• Optimize data models for reliability, governance, and reusability.

• Work with engineering teams to deploy analytics products into a production environment.

• Document processes, data definitions, and system logic comprehensively.

• Aid in the migration from Splunk to Databricks.

• Create and manage API integrations with external platforms, including OAuth 2.0 authentication and token management.

• Deliver analytics and dashboards that provide measurable business impact.

• Enhance data accessibility and reliability through structured models and pipelines.

• Provide guidance to stakeholders seeking data-driven insights.

• Ensure reporting integrity through validation, documentation, and data quality practices.

⛳️ Requirements

• Active Secret clearance is required.

• A Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field is preferred, but candidates with substantial relevant experience may be considered without it.

• A minimum of 3 years of experience in analytics, data engineering, or data science roles, or equivalent practical experience.

• Strong expertise in Power BI for data modeling, DAX, report development, and visualization best practices.

• Significant experience with Databricks and distributed data processing (Spark).

• Advanced SQL skills, including experience in querying, transforming, and optimizing large datasets.

• Strong Python capabilities for data analysis, transformation, automation, and analytics.

• Experience with Power Automate for creating workflow automations.

• Proven experience in building and maintaining data pipelines and working with modern data architectures.

• Familiarity with cloud data platforms and architectures, preferably Microsoft Azure.

• Excellent presentation skills with the ability to tailor technical depth for both technical and non-technical audiences.

• Strong analytical mindset with the capability to interpret data trends and communicate findings effectively.

• Experience working collaboratively in cross-functional settings while managing competing priorities.

• Ability to adapt solutions and troubleshoot using available resources.

• U.S. citizenship may be necessary for specific positions.

• The ability to obtain and maintain a U.S. government security clearance may be required for certain roles.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• 401(k) plan with company matching.

• Three weeks of paid annual leave, increasing with tenure.

• Comprehensive medical, dental, and vision insurance coverage.

• Life insurance and disability benefits.

• Transit and commuting assistance.

• Professional development and paid training opportunities.

• Reasonable accommodations for qualified individuals with disabilities.