Aloha Browser09.02.26
AI SCORE 8.5

Senior Data Scientist - Mobile and Machine Learning

$90K–$120K/year

About the Role

We are looking for a talented Senior Data Scientist - Mobile and Machine Learning to join the team at Aloha, a private and secure browser focused on digital freedom and online privacy design. This Senior Data Scientist remote role will allow you to develop advanced models based on strong mathematical foundations, with the versatility to adapt and optimize your research for mobile environments.

What You'll Do

  • Develop and implement machine learning models for mobile applications.
  • Collaborate with cross-functional teams to enhance product features.
  • Deploy models to production environments ensuring high performance.
  • Optimize existing models for mobile platforms, focusing on efficiency.
  • Conduct research to advance the state-of-the-art in machine learning.

Requirements

  • Master's degree in Computer Science, Applied Math, Physics, or equivalent.
  • Deep understanding of modern ML architectures (Transformers, Neural Networks).
  • Proven experience deploying models to production environments.
  • Fluency in Russian language is required.
  • Experience with mobile deployment (iOS and Android) is a strong plus.

Nice to Have

  • Familiarity with C++, Swift, or Kotlin.
  • Experience with MLOps pipelines: versioning and automation (e.g., MLflow, GitHub Actions).
  • Experience with agent frameworks such as LangChain or LangGraph.

What We Offer

  • Full relocation and visa support, including assistance for family members.
  • Competitive salary package.
  • Professional development opportunities.
  • Lunch allowance and unlimited snacks.
  • Private medical insurance for you and your family.
  • Corporate mobile phone and mobile internet.
  • Sports benefits.
  • Language courses.
  • Partial reimbursement of kindergarten and school fees.
  • Modern office and a positive workplace culture.
  • Gifts on special occasions.
Language Requirements
RussianC1
English(optional)B2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist position offers a unique opportunity to work remotely with a competitive salary and comprehensive relocation support. Aloha Browser emphasizes a positive workplace culture and professional development.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Aloha Browser

Explore Aloha Browser careers in 2026 with exciting job openings across remote, hybrid, and office roles. Utilize our advanced filters to narrow your search, track your applications seamlessly, and gain valuable company insights. Discover your ideal position at Aloha Browser and take the next step in your career journey today. Join us in shaping the future of browsing technology!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python and R with hands-on experience in TensorFlow and PyTorch for building machine learning models tailored for mobile applications.

Adaptable and self-motivated, thriving in a fully remote work environment while effectively managing time and priorities for project deliverables.

Strong analytical mindset with a solid understanding of MLOps practices, capable of deploying and maintaining machine learning models in production settings.

Learning Resources

Machine Learning Crash Coursecourse

Career Path

Senior Data Scientist - Mobile and Machine Learning(Now)Lead Data Scientist or Machine Learning Engineer(1-2 years)Director of Data Science or Head of Machine Learning(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
35.6%
AI Adoption
75%
Investment
+200%
Labour Demand
+40%
Avg Salary
$130K

Skills & Requirements

Required
Machine LearningPythonR
Growing in Demand
Deep LearningNatural Language ProcessingCloud Computing
Declining
Traditional Statistical AnalysisRule-Based Systems

Domain Trends

Rise of Edge AI
By 2025, 75% of enterprise-generated data will be created and processed outside a centralized data center, driving the demand for machine learning models that operate on mobile and edge devices.
Increased Focus on MLOps
MLOps adoption is projected to grow by 50% annually as organizations seek to streamline the deployment and management of machine learning models.
Integration of AI in Mobile Applications
Over 60% of mobile applications are expected to integrate AI functionalities by 2025, enhancing user experience and personalization.

Industry News

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