Job Summary

Startup Inno is seeking a highly motivated and analytical Data Scientist – Customer Value Management (CVM) to join our growing analytics and insights team. In this role, you will play a critical part in driving data-driven strategies that enhance customer lifetime value, improve retention, and optimize customer engagement across multiple digital channels.

You will work closely with marketing, product, growth, and business teams to translate complex customer data into actionable insights. The ideal candidate has strong expertise in advanced analytics, machine learning, and customer segmentation, with a passion for using data to influence business outcomes in a fast-paced startup environment.

Key Responsibilities

• Design, develop, and maintain predictive models for customer lifetime value (CLV), churn, cross-sell, and upsell.

• Perform customer segmentation and cohort analysis to support personalized marketing and product strategies.

• Analyze large datasets from multiple sources (CRM, transactional, behavioral, and digital platforms).

• Collaborate with marketing and growth teams to optimize campaigns using data-driven insights.

• Build dashboards and reports to track customer metrics such as retention, acquisition cost, and engagement.

• Conduct A/B testing and experimentation to evaluate business initiatives.

• Translate analytical findings into clear business recommendations for stakeholders.

• Ensure data quality, governance, and best practices in analytics workflows.

Required Skills and Qualifications

• Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.

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

• Experience with SQL and working with large-scale databases.

• Knowledge of machine learning techniques such as regression, classification, clustering, and time-series analysis.

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

• Strong understanding of customer analytics concepts such as CLV, churn, funnel analysis, and segmentation.

• Excellent problem-solving, analytical, and communication skills.

Experience

• 2–5 years of experience in a Data Scientist, Analytics, or similar role.

• Prior experience in customer analytics, marketing analytics, or CRM is highly preferred.

• Experience working in a startup or high-growth environment is an advantage.

• Hands-on experience in deploying models into production is a plus.

Working Hours

• Full-time position.

• Standard working hours: Monday to Friday.

• Flexible work arrangements with options for remote or hybrid work, depending on location and business needs.

Knowledge, Skills and Abilities

• Strong business acumen with the ability to link data insights to commercial impact.

• Ability to work independently and manage multiple projects simultaneously.

• Strong stakeholder management and presentation skills.

• Curiosity-driven mindset with a passion for continuous learning.

• Ability to communicate complex technical concepts in simple, business-friendly language.

Benefits

• Competitive salary and performance-based incentives.

• Flexible working hours and remote work options.

• Health insurance and wellness programs.

• Learning and development opportunities, including training budgets and certifications.

• Exposure to cutting-edge technologies and real-world business challenges.

• Collaborative, innovative, and inclusive work culture.

Why Join Startup Inno?

At Startup Inno, we believe in building intelligent, data-driven products that make a real difference for customers. You will have the opportunity to work with a talented team, influence strategic decisions, and see the direct impact of your work on business growth. This role offers strong career progression, ownership of key initiatives, and the chance to grow with a rapidly scaling organization.

How to Apply

Interested candidates should submit their updated resume along with a brief cover letter highlighting relevant experience in customer analytics and data science. Shortlisted candidates will be contacted for technical and business interviews.