Almus

At Almus, we’re looking for a System Analyst to join our Analytics team and take technical ownership of mobile analytics (iOS) and marketing data.

In this role, you will ensure data quality and transparency across mobile tracking, attribution, and marketing integrations, acting as a technical bridge between Product, Marketing, Analytics, and Engineering teams. You will work with real production data in a privacy-first iOS environment and have a direct impact on how business and marketing decisions are made.

Join Almus and help ensure reliable mobile analytics and marketing data!

Responsibilities

• Collaborate on and be responsible for the technical aspects of mobile analytics (iOS) and marketing data
• Ensure accuracy, availability, completeness, and reproducibility of mobile and marketing data
• Design and maintain event tracking across in-app behavior, attribution, and lifecycle stages
• Enable product and marketing decisions through reliable and trusted data
• Act as a bridge between Product, Marketing, Analytics, and Engineering teams
• Define and maintain standards for mobile tracking and data quality
   

What We Look For

• 3+ years of experience as a System Analyst or Marketing Analyst
• Strong understanding of mobile analytics, with a focus on iOS and SKAdNetwork Framework
• Experience with event tracking, attribution, and funnel analysis
• Hands-on experience with MMPs such as Adjust or AppsFlyer
• Strong SQL skills and experience with analytics data pipelines
• Understanding of data flows and schemas
• Experience identifying, diagnosing, and resolving data quality issues
   

Nice to have

• Experience with Firebase, GA4, or Amplitude
• Experience working with BigQuery
• Python skills for data validation and quality checks
• Knowledge of the iOS application lifecycle
• Experience working with advertising platform APIs (Meta, Google, Adjust)
   

We Offer

• Exciting challenges and growth prospects together with an international company
• High decision-making speed and diverse projects
• Flexibility in approaches, no processes for the sake of processes
• Effective and friendly communication at any level
• Highly competitive compensation package that recognizes your expertise and experience, Performance Review practice to exchange feedback and discuss terms of cooperation
• Flexible schedule, opportunity to work in a stylish and comfortable office or remotely
• Respect for work-life balance (holidays, sick days - of course)
• Bright corporate events and gifts for employees
• Additional medical insurance
• Compensation for specialized training and conference attendance
• Restaurant lunches at the company's expense for those working in the office, endless supplies of delicious food all year round

Almus is looking for a Data Scientist to join our Analytics team and build production-grade machine learning models that directly impact marketing and business performance.

You will work on end-to-end ML solutions, from data and features to deployment and monitoring, focusing on improving LTV prediction quality, optimizing ML-driven costs, and driving key metrics such as LTV, ROAS, retention, and CAC. This is an individual contributor role with strong ownership, close collaboration with Marketing, Product, and Data teams, and a clear focus on real business impact.

Apply to join Almus and take ownership of high-impact data initiatives!

Responsibilities

• Design, develop, and deploy machine learning models to production
• Improve product and business decision-making through data-driven approaches
• Build and evolve end-to-end ML pipelines (data → features → model → inference → monitoring)
• Drive measurable impact on key product and commercial metrics
• Standardize ML approaches within the team (best practices, documentation, reproducibility)
• Provide technical input to the architecture of analytics and ML infrastructure
• Develop and deploy models that drive growth in LTV, ROAS, retention, and CAC
• Influence performance and lifecycle marketing strategy
• Act as a domain expert and collaborate closely with Marketing, Product, and Data Engineering teams

What We Look For

• 3+ years of experience as a Data Scientist / ML Engineer
• Experience working with mobile subscription-based products
• Strong Python skills (production-level code)
• Solid knowledge of classical machine learning algorithms and practical experience applying them
• Experience with feature engineering, model evaluation, and bias–variance trade-offs
• Hands-on experience with marketing models such as LTV, churn, cohort, and funnel modeling
• Experience with attribution, incrementality, and uplift modeling
• Strong SQL skills and experience working with analytical datasets
• Experience with production ML systems and A/B testing

• English level: Intermediate+

   

Nice to have

• Experience with BigQuery
• MLOps experience (Docker, CI/CD, model registres)
• Experience working with performance marketing data (Meta, Google Ads, Adjust)
• Knowledge of causal inference

• Experience with AutoML and Bayesian models

   

We Offer

• Exciting challenges and growth prospects together with an international company
• High decision-making speed and diverse projects
• Flexibility in approaches, no processes for the sake of processes
• Effective and friendly communication at any level
• Highly competitive compensation package that recognizes your expertise and experience, Performance Review practice to exchange feedback and discuss terms of cooperation
• Flexible schedule, opportunity to work in a stylish and comfortable office or remotely
• Respect for work-life balance (holidays, sick days - of course)
• Bright corporate events and gifts for employees
• Additional medical insurance
• Compensation for specialized training and conference attendance
• Restaurant lunches at the company's expense for those working in the office, endless supplies of delicious food all year round