--- title: 'Senior Data Scientist at MobileAction' canonical: 'https://feeny.ai/job/senior-data-scientist-mobileaction-ankara-6pnrh8kdyytg' type: 'job' last_seen: '2026-09-15' --- # Senior Data Scientist at MobileAction - **Company:** MobileAction - **Location:** Ankara, Turkey - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2024-05-31 - **Last confirmed live:** 2026-09-15 - **Apply:** https://jobs.lever.co/mobile-action/2db3345f-fd51-4e1a-bfee-4299e67fc9e0 ## Job description ## About Us MobileAction is a leading app growth and analytics platform that has been empowering developers, marketers, and global brands to make smarter decisions across the mobile ecosystem since 2013. Powered by large-scale data, machine learning, and AI, our products span ASO, Apple Ads automation, competitive intelligence, and market analytics — supporting over $1 billion in Apple Ads spend in 2025, with enterprise customers including Google, Meta, Spotify, and Grammarly. In 2026, MobileAction joined InMobi, one of the world's leading advertising and AI technology companies, accelerating our mission to build next-generation mobile growth solutions. Here, you'll tackle complex real-world problems, work with large-scale datasets, and ship innovative AI-powered products that create measurable impact for customers around the globe. ## About the Role As a Senior Data Scientist at MobileAction, you will work at the intersection of data, machine learning, and AI to solve high-impact problems in mobile growth. You will build intelligent systems, and turn large-scale data into actionable product and business outcomes. Working in a rapidly evolving environment, you’ll continuously explore new technologies, experiment with innovative approaches, and contribute to the development of next-generation solutions. ## What You’ll Do - Conduct exploratory data analysis to identify trends, opportunities, and actionable business insights. - Design, develop, and maintain statistical, predictive, and machine learning models at the production level and/or support decision-making. - Design and build AI-driven agentic systems that automate complex workflows and enhance decision-making. - Build reliable data pipelines, dashboards, and analytical tools to improve reporting and operational efficiency. - Partner with product, engineering, and business teams to translate business challenges into data-driven solutions. - Ability to translate analytical insights, product concepts, and technical designs into clear, actionable results and comprehensive documents that align technical solutions with business objectives. - Stay current with industry trends, emerging technologies, and advancements in data science, machine learning, and AI. - Contribute to the team’s AI expertise by sharing knowledge, best practices, and technical insights. ## What You’ll Bring - Bachelor’s degree or equivalent experience in quantitative fields (Computer Science, Engineering, Statistics, Mathematics, etc.) - 5+ years of applied experience as a data scientist/machine learning engineer, preferably in mobile industries, OR ability to prove knowledge and passion for this area. - Proficiency in Python for data analysis, model training, automation, and solution development. - Having deep expertise in AI and machine learning development, including RAG solutions, NLP, clustering, classification, predictive modeling, and related algorithms. - Strong algorithmic development mindset with the ability to design, optimize, and scale solutions for complex data and business challenges. - Ability to effectively leverage AI tools and technologies to accelerate development, enhance productivity, and deliver high-impact solutions. - Writing complex and efficient queries with SQL - Having a curious mindset to find hidden value in the data - Being detail-oriented to check data integrity and correctness - Strong communication and organizational skills - Self-motivated with the ability to work independently - Excellent verbal and written communication skills in English. - Willingness to learn mobile app economy dynamics ## Nice to have - Experience with LLMs, Agentic AI, prompt engineering, RAG systems, LangChain, or similar frameworks - Knowledge of auction-based systems, bid optimization strategies, and algorithmic approaches to performance marketing. - Experience applying reinforcement learning techniques to optimize bidding strategies and other sequential decision-making systems in dynamic environments. - Knowledge of experimental design and hypothesis testing - Experience of deploying models into/writing services to the production systems, considering time and memory constraints - ## Experience working with high-volume and high-velocity data Culture - Open, collaborative, and high-trust environment - Fast-moving startup mindset with global scale impact - Motivated, inspiring co-workers - Strong focus on learning, ownership, and technical excellence - Opportunity to work on real-world problems with visible impact - Continuous feedback and transparent communication culture - Impatient with Actions, patient with Results ## What We Offer - Competitive USD salary - Private Health Insurance - Top-notch tech equipment - English-speaking and multinational work environment. - Free breakfast every day - Unlimited snack bar - Flexible work hours - Monthly Food Allowance - Unlimited online courses Mobile Action is an equal-opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran’s status, age, or disability. ## About MobileAction ## Company Overview - **One-liner**: MobileAction provides an AI-powered mobile app marketing and analytics platform that helps app developers and marketers optimize their App Store presence, manage Apple Ads campaigns, and analyze competitive ad creative data. - **Entity Type**: Private (acquired by InMobi Advertising in 2026) - **Headquarters**: San Francisco, California, USA - **Founded**: 2013 - **Founders**: Not publicly listed ## Core Business - **Primary Industry**: Mobile App Marketing & Analytics (SaaS) - **Target Customers**: B2B — app developers, mobile marketing teams, game studios, and enterprise brands in gaming, shopping, finance, health & fitness sectors. - **Mission/Purpose**: To be the growth partner of apps and games, helping them climb the charts on the App Store and Google Play Store through AI-driven products and expert services. ## Products & Services - **App Intelligence & ASO Intelligence**: SaaS tools for keyword research, competitor analysis, and organic app store optimization. - **Market Intelligence & Ad Intelligence**: Data-driven insights into market trends and competitor ad creative strategies, featuring a library of 90M+ ad creatives and 5M+ apps. - **Apple Ads Campaign Manager (MobileAction CMP)**: An official Apple Ads Partner solution to automate and optimize Apple Search Ads campaigns, with bid prediction, keyword planning, and custom product page management. - **AI Assistant**: An AI-powered tool backed by 65M+ data points to explore paid and organic performance. - **MobileAction API / MCP Server**: REST API and connections for AI tools (Claude, ChatGPT, Gemini) to pull keyword rankings, ad creatives, and Apple Ads performance data. ## Market Standing - **Valuation/Funding**: Not publicly disclosed (private company) - **Key Metric**: Acquired by InMobi Advertising in May 2026; serves customers in 85+ countries; trusted by industry giants like Meta, Square, Zalando, Playtika, and Adidas. - **Notable Investors/Partners**: Official Apple Ads Partner; acquired by InMobi (a global advertising technology company) in 2026; previously joined forces with Skai’s Apple Ads team in 2025. - **Growth Signals**: SOC2 certified; scaled across 5 countries; grew from a service agency in 2014 to a full-suite SaaS platform; 114 total employees as of recent reporting; 18 time zones covered by global team. ## Competitive Advantages - **Data Moat**: Access to 90M+ ad creatives, 6M+ keywords, 5M+ apps, 100K+ publishers, and 500K+ advertisers — one of the largest mobile ad creative libraries available. - **Official Apple Ads Partner**: Exclusive partnership status gives a deep integration and credibility within the Apple ecosystem. - **AI-First Platform**: AI Assistant and predictive bidding tools specialized for app marketing workflows. - **API & MCP Integration**: Unique offering to connect directly with popular AI assistants makes data accessible to developers and analysts. ## Strategic Focus - **Current Priority**: Deepening the integration with InMobi Advertising to scale offerings post-acquisition. - **Growth Direction**: Expanding automation, smarter insights, and tighter integrations for performance marketing teams; continuing to support app marketers in both organic and paid user acquisition globally. ## Why Work Here - **Culture**: Described as collaborative, respectful, and supportive with a global, diverse team spanning 18 time zones and 9 nationalities. - **Flexibility**: Offers remote or hybrid work options; HQ in San Francisco, CA. - **Equipment & Perks**: Top-notch Apple technical equipment, competitive salary, comprehensive private health insurance, monthly meal and travel compensation, daily refreshments/treats, and PS5 games for breaks. - **Growth**: Dedicated career development framework; encourages employees to chart their own path and make an impact from day one. - **Hiring Process**: Involves a written task related to the department, followed by an online interview with HR. ## Sources 1. [mobileaction.co](https://www.mobileaction.co/) 2. [mobileaction.co/about-us](https://www.mobileaction.co/about-us/) 3. [mobileaction.co/careers](https://www.mobileaction.co/careers/) 4. [cbinsights.com](https://www.cbinsights.com/company/mobile-action) 5. 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