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DMI (Digital Management, LLC)

Senior Data Scientist

DMI (Digital Management, LLC)

. Design, develop, and implement advanced data science, statistical modeling, and machine learning solutions .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $102,495 - $128,119 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing advanced data science and machine learning solutions, with a strong focus on statistical modeling, data analysis, and visualization. Proficient in Python, R, SQL, and data management best practices, while effectively communicating complex findings to diverse audiences.

Highest-signal resume keywords
Data Science ExpertiseStatistical ModelingMachine Learning SolutionsPython, R, SQL ProficiencyPower BI or Tableau Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisStatistical ModelingMachine LearningFeature EngineeringData PreparationData TransformationData VisualizationAnalytical Solutions DevelopmentData GovernanceData Quality Management
Soft Skills
Excellent CommunicationCollaborationConsensus BuildingPresentation SkillsProblem Solving
Tools & Technologies
Power BITableauPythonRSQL
Certifications & Qualifications
Government Security Clearance Eligibility
Industry Keywords
Data ScienceStatistical AnalysisData Management Best PracticesData Privacy RegulationsData Security

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Design, develop, and implement advanced data science, statistical modeling, and machine learning solutions
  • Analyze large, complex datasets to identify trends, patterns, relationships, and actionable insights
  • Develop and validate statistical and machine learning models
  • Perform data exploration, preparation, transformation, feature engineering, and statistical analysis
  • Develop analytical solutions using Python, R, SQL, and other data science technologies
  • Build dashboards, visualizations, and analytical products using Power BI and Tableau
  • Translate analytical findings into actionable recommendations
  • Present analytical results and technical concepts to technical and non-technical audiences
  • Collaborate with data engineers, software developers, system owners, business stakeholders, and organizational leadership
  • Apply data management best practices for data quality, integrity, security, privacy, and appropriate data use
  • Contribute to data governance and analytical standards
  • Improve analytical processes, models, reporting capabilities, and data products
  • Document analytical methodologies, models, assumptions, results, and technical processes
  • Build consensus, resolve issues, and align stakeholders on data-driven solutions
  • Support system authorization, compliance, and operational readiness activities
  • Stay current with emerging data science, machine learning, statistical modeling, visualization, and analytics technologies

Requirements

What you’ll need
  • Bachelor's degree or higher in statistics, computer science, mathematics, or a related field
  • Minimum of 5–10 years of relevant work experience in data science, statistical modeling, and machine learning
  • Expertise in Python, R, and SQL
  • Ability to design and implement complex analytical models and analyze large, complex data sets
  • Experience with Power BI or Tableau
  • Knowledge of data management best practices, including data quality, security, and privacy regulations
  • Excellent communication and presentation skills, including communicating complex technical concepts to non-technical audiences
  • Experience collaborating across organizations, building consensus, and obtaining required system authorizations
  • Must possess or be eligible to obtain and complete a government security screening and/or a Secret security clearance
  • Must be a U.S. Citizen

Benefits

Comp & perks
  • Virtual health visits
  • Commuter perks
  • Pet insurance
  • Entertainment discounts
  • Annual performance reviews
  • Tuition assistance
  • Internal career growth opportunities
  • Generous 401(k) matches
  • Life and disability insurance
  • Financial wellness tools
  • Annual awards
  • Service anniversaries
  • Referral bonuses
  • Peer-to-peer shoutouts
  • Healthcare coverage
  • Wellness programs
  • Flu shots
  • Biometric screenings