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Senior Data Scientist / Analytics Lead
eQuiv - Search & Advisory. Lead and develop the Data Science and Analytics team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading Data Science and Analytics teams, with a strong foundation in statistics, predictive modeling, and machine learning. Proficient in translating business challenges into actionable data solutions while ensuring quality and governance in analyses.
Highest-signal resume keywords
Leadership Experience In Data ScienceStrong Knowledge Of StatisticsPredictive ModelingMachine LearningExperience With Python
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
StatisticsPredictive ModelingMachine LearningData SolutionsData GovernanceData AnalysisSQLMLOpsData PipelinesA/B Testing
Soft Skills
Stakeholder CommunicationTeam CollaborationProblem Solving
Tools & Technologies
PythonVersion Control ToolsCloud Environments
Certifications & Qualifications
Postgraduate DegreeMaster’s Degree In Quantitative Field
Industry Keywords
Data-Driven CultureData ScienceAnalyticsBusiness Insights
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead and develop the Data Science and Analytics team
- Define the vision, roadmap, and priorities for data projects
- Translate business problems into hypotheses and statistical/machine learning models
- Ensure the quality, governance, and reproducibility of analyses
- Partner with Product, Technology, and business teams
- Present insights and results to executives and C-level stakeholders
- Help advance the company’s data-driven culture
Requirements
What you’ll need- Previous leadership experience in Data Science or Analytics
- Strong knowledge of statistics, predictive modeling, and machine learning
- Experience with Python and version control tools
- Experience with databases (SQL) and cloud environments
- Ability to translate business problems into data solutions
- English proficiency for reading, writing, and stakeholder interactions
- Availability for a hybrid work model and CLT employment
- Preferred: Previous experience at a medium-sized or large data-driven company
- Preferred: Experience with MLOps, data pipelines, and experimentation (A/B testing)
- Preferred: Postgraduate degree or master’s degree in a quantitative field
Benefits
Comp & perks- CLT employment
- Hybrid work model