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