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 and operationalizing advanced analytics solutions, with strong capabilities in Power BI, Databricks, and data pipeline development. Proficient in data modeling, SQL, and Python for data analysis, while effectively collaborating with stakeholders to deliver impactful insights.

Highest-signal resume keywords

Power BI Data ModelingDatabricks and Spark ProcessingAdvanced SQL SkillsPython for Data AnalysisData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power BIDAXDatabricksPySparkSQLPythonData Pipeline DevelopmentMachine LearningData GovernanceFeature Engineering

Soft Skills

Analytical MindsetPresentation SkillsCollaborationProblem SolvingCommunication

Tools & Technologies

Power AutomateJIRACI/CDDevOpsAPI IntegrationsOAuth 2.0UiPath/RPAServiceNowSplunkMicrosoft Azure

Certifications & Qualifications

Secret ClearanceBachelor's Degree in Data Science

Industry Keywords

Data EngineeringData ScienceAnalytics SolutionsData ArchitectureDataOps

Tech Stack

Tools & technologies

AzureCloudPySparkPythonRPAServiceNowSparkSplunkSQL

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
Analyze large and complex datasets and improve query performance, processing time, and 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 the 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

Secret clearance required; candidates already holding a Secret may be considered for sponsorship to a higher-level clearance
U.S. citizenship may be required for certain positions
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 for querying, transforming, and optimizing large datasets
Strong Python skills for data analysis, transformation, automation, and analytics
Power Automate experience for 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
Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or related field preferred, but not required for candidates with strong relevant experience
Experience with JIRA, CI/CD, DevOps, API integrations, OAuth 2.0, data governance, DataOps, UiPath/RPA, ServiceNow, Splunk, or AI tools is preferred or a bonus

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