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Data Scientist
Software MindData Scientist at Software Mind developing innovative data products for global clients through advanced analytics. Collaborating across teams to translate customer needs into analytical solutions.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design, build, validate, and maintain predictive and prescriptive models across travel, risk, and location domains
- Apply statistical methods, machine learning, and experimentation to improve data accuracy, completeness, and trust
- Develop domain-specific metrics, benchmarks, and risk scoring frameworks
- Translate customer problems and market needs into analytical solutions and data products
- Partner with Product Managers to define value propositions, pricing inputs, and success metrics
- Define data quality rules, validation logic, and anomaly detection mechanisms
- Ensure alignment with privacy, consent, and ethical AI standards in regulated environments
- Support lineage, explainability, and auditability of analytical outputs
- Work closely with Data Engineers to ensure model-ready, reliable data pipelines
- Collaborate with Machine Learning Engineers to operationalise models at scale
- Communicate insights and recommendations clearly to technical and non-technical stakeholders
Requirements
What you’ll need- 7 - 8+ years' experience in applied data science roles
- Strong proficiency in Python, SQL, and ML libraries
- Ability to translate data into presentable stories
- Experience delivering customer-facing, revenue-generating data products
- Bachelor's degree in computer science, Engineering, Information Systems, or related field
Benefits
Comp & perks- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLmachine learningstatistical methodsdata quality rulesanomaly detectionpredictive modelsprescriptive modelsdata pipelinesrisk scoring frameworks
Soft Skills
communicationcollaborationproblem-solvingstorytellinganalytical thinkingcustomer focusadaptabilityattention to detailstakeholder engagementproject management