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Data Scientist
DMI (Digital Management, LLC). Design, develop, and implement advanced data science, statistical modeling, and machine learning solutions .
Core Competencies
Role fitCore 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, utilizing Python, R, and SQL to analyze complex datasets and derive actionable insights. Proficient in data management best practices, including data quality and security, while effectively communicating technical concepts to diverse audiences.
Highest-signal resume keywords
Data ScienceMachine LearningStatistical ModelingPythonR
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisFeature EngineeringData ExplorationAnalytical ModelingData TransformationData VisualizationDashboard DevelopmentSQLData Management Best PracticesData Governance
Soft Skills
Communication SkillsCollaborationConsensus BuildingPresentation SkillsProblem Solving
Tools & Technologies
Power BITableauData Science Technologies
Certifications & Qualifications
Government Security Clearance
Industry Keywords
Data QualityData SecurityData PrivacyStatistical Modeling StandardsAnalytical Standards
Tech Stack
Tools & technologiesPythonSQLTableau
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 3-5 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 techniques for large, complex datasets
- 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