Senior Data Scientist - MarTech & User Attribution

Job Summary

Startup Inno is seeking a highly analytical and business-driven Senior Data Scientist - MarTech & User Attribution to join our fast-growing technology team. In this role, you will be responsible for designing and implementing advanced data models that measure, analyze, and optimize user acquisition, engagement, and conversion across multiple digital marketing channels. You will play a critical role in shaping our marketing intelligence strategy by transforming complex datasets into actionable insights that directly impact business growth and customer experience.

This position requires a strong blend of technical expertise, strategic thinking, and cross-functional collaboration with marketing, product, and engineering teams. The ideal candidate is passionate about data-driven decision-making and has deep experience in attribution modeling, customer analytics, and marketing technology platforms.

Key Responsibilities

• Design, develop, and maintain advanced attribution models (multi-touch, last-click, first-touch, algorithmic models).

• Analyze user behavior across digital channels including web, mobile, social, email, paid media, and CRM platforms.

• Build predictive models to optimize customer acquisition, retention, and lifetime value (LTV).

• Collaborate with marketing teams to evaluate campaign performance and ROI.

• Develop dashboards and reporting frameworks for executive-level insights.

• Perform A/B testing and experimentation to validate marketing strategies.

• Integrate data from multiple sources such as Google Analytics, CRM systems, CDPs, and ad platforms.

• Mentor junior data scientists and provide technical leadership.

• Ensure data quality, governance, and compliance with privacy regulations.

Required Skills and Qualifications

• Strong proficiency in Python or R for data analysis and modeling.

• Advanced SQL skills and experience working with large-scale databases.

• Solid understanding of statistics, probability, and machine learning techniques.

• Experience with marketing analytics tools (Google Analytics, Adobe Analytics, Mixpanel, Amplitude).

• Knowledge of attribution frameworks and customer journey analytics.

• Experience with data visualization tools (Tableau, Power BI, Looker).

• Familiarity with cloud platforms (AWS, GCP, Azure).

• Excellent communication skills with the ability to translate technical insights into business value.

Experience

• 5+ years of experience in data science, analytics, or related roles.

• At least 2+ years of experience specifically in MarTech, marketing analytics, or growth analytics.

• Proven track record of building attribution models and driving business outcomes.

• Experience working in fast-paced startup or product-driven environments is highly preferred.

Working Hours

• Full-time position (40 hours per week).

• Flexible working hours with a hybrid or remote work option.

• Availability for occasional cross-time-zone collaboration.

Knowledge, Skills and Abilities

• Deep understanding of digital marketing ecosystems and user behavior.

• Strong problem-solving and critical-thinking skills.

• Ability to manage multiple projects and prioritize effectively.

• High attention to detail with strong data validation practices.

• Business acumen with the ability to align analytics with strategic goals.

• Leadership mindset with the ability to influence stakeholders.

Benefits

• Competitive salary with performance-based incentives.

• Health insurance and wellness programs.

• Flexible work arrangements (remote/hybrid).

• Learning and development budget.

• Paid time off and company holidays.

• Stock options or equity participation (where applicable).

• Collaborative and innovation-driven work culture.