Data Scientist
Posted 4hrs ago
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Job Description
Data Scientist building Databricks pipelines, Power BI dashboards, and machine-learning solutions for Improvix Technologies’ secure government IT programs. Supporting Splunk migration and data-driven mission success.
Responsibilities:
- Design, develop, and operationalize advanced analytics solutions
- Build scalable data pipelines and analytics workflows using Databricks, PySpark, Delta Lake, and notebooks
- Develop interactive dashboards and reports in Power BI
- Build and maintain Power BI data models and DAX measures
- Improve query performance, processing time, and overall data efficiency
- Partner with business stakeholders to translate analytical needs into technical solutions
- Perform exploratory data analysis, feature engineering, and machine learning model development
- Optimize data models for reliability, governance, and reusability
- Collaborate with engineering teams to deploy analytics products into production
- Document processes, data definitions, and system logic
- Support migration from Splunk to Databricks
- Build and maintain API integrations with external platforms, including OAuth 2.0 authentication and token management
- Deliver dashboards and analytics with measurable business impact
- Improve data accessibility and reliability through structured models and pipelines
- Advise stakeholders seeking data-driven insights
- Maintain reporting confidence through validation, documentation, and data quality practices
Requirements:
- Active Secret clearance required
- Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or related field preferred, but not required for candidates with strong relevant experience
- 3+ years of experience in analytics, data engineering, or data science roles, or equivalent practical experience
- Strong proficiency in Power BI for data modeling, DAX, report development, and visualization best practices
- Strong experience with Databricks and distributed data processing (Spark)
- Advanced SQL skills with experience querying, transforming, and optimizing large datasets
- Strong Python skills for data analysis, transformation, automation, and analytics
- Power Automate experience for building workflow automations
- Experience building and maintaining data pipelines and working with modern data architectures
- Understanding of cloud data platforms and architectures, preferably Microsoft Azure
- Strong presentation skills and ability to adjust technical depth for technical and non-technical audiences
- Strong analytical mindset and ability to interpret data trends and communicate clearly
- Experience collaborating in cross-functional environments and managing competing priorities
- Ability to adapt solutions and problem solve using available tools
- U.S. citizenship may be required for certain positions
- Ability to obtain and maintain a U.S. government security clearance may be required for some roles
Benefits:
- Competitive compensation and performance-based incentives
- 401(k) with company match
- Three weeks of paid annual leave that increases with tenure
- Comprehensive medical, dental, and vision insurance
- Life insurance and disability coverage
- Transit and commuting benefits
- Professional development and paid training opportunities
- Reasonable accommodations for qualified individuals with disabilities



















