Data Scientist

Improvix Technologies

. Design, develop, and operationalize advanced analytics solutions .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSenior💰 $100,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable data pipelines and analytics workflows using Databricks, PySpark, and Power BI, while ensuring data reliability and efficiency. Proficient in advanced SQL and Python for data analysis, with strong presentation skills to communicate insights effectively.

Highest-signal resume keywords

DatabricksPower BIAdvanced SQLPythonData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentDAX MeasuresData ModelingMachine LearningFeature EngineeringData AnalysisData TransformationData VisualizationQuery OptimizationAPI Integration

Soft Skills

Analytical MindsetPresentation SkillsCollaborationProblem SolvingStakeholder Engagement

Tools & Technologies

DatabricksPower BIPySparkDelta LakePower AutomateMicrosoft AzureOAuth 2.0

Certifications & Qualifications

Active Secret Clearance

Industry Keywords

Data ScienceData EngineeringAnalytics SolutionsData GovernanceData Accessibility

Tech Stack

Tools & technologies

AzureCloudPySparkPythonSparkSplunkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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