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PlusMinusOne is a mobile startup studio that focuses on developing and marketing its own apps that are used and loved by millions of people around the world. Our products collectively reach more than a half-million new users every month in the US market alone. We are a remote-friendly startup with offices in San Francisco, Istanbul and Ankara.
We have been building mobile products focused on Business, Photo & Video, and Education categories in the App Store mainly for the US market since 2016. And in each of these categories, our goal is the same: provide actual value to people with the best mobile user experience.
We're looking for a data-driven problem solver to help build our predictive analytics infrastructure from the ground up and drive user growth through data.
What we are looking for:
- Degree in STEM or equivalent practical experience
- 2+ years of work experience as a full-stack data scientist or analyst covering problem identification, raw data ingestion & pipelining, predictive analytics, reporting & communicating the insights
- Advanced proficiency in Python/PySpark, SQL, and Git
- Solid understanding of time series forecasting and classification models
- Experience with orchestration and BI tools
- User acquisition analytics, campaign optimization, and A/B testing experience (strong plus)
- Hands-on experience deploying ML models in production environments (strong plus)
- Experience with big data frameworks, Airflow, Tableau, Linux, or any data warehouse (strong plus)
- Background in mobile app or consumer product analytics (strong plus)
- Appreciation of team spirit
- Bias for action and ownership mentality
Your responsibilities will be:
- Design, implement and manage scalable data pipelines by writing production-grade code and by using modern cloud technologies
- Lead LTV (Lifetime Value) prediction initiatives to optimize user acquisition strategies
- Build and maintain dashboards and self-serve analytics tools to help unlock the potential of data
- Collaborate with product and engineering teams to translate analytical insights into actionable features
- Analyze UA campaigns and implement LTV/MMM models to evaluate and optimize UA campaign performance
- Launch A/B tests at scale and provide actionable insights to relevant teams
- Leverage event data to perform funnel analysis, identify conversion bottlenecks, and increase user retention
What we offer:
- Opportunity to make an impact on millions of global users' life and the future of mobile
- Chance to be a part of a passionate and driven team where everyone’s ideas are valued
- Working in an environment with a Silicon Valley startup culture and benefits
- A hybrid work environment with 3 days a week at the Kabataş Istanbul office
- 14 days of paid vacation that starts from the first year of joining the team
- Quarterly profit sharing based on performance
- Ability to own a stock option after the first year
- Private health insurance package
- Reimbursement package for any education, course, etc.
- Reimbursement package for your sports activities
- A Macbook, iPhone, magic mouse, magic keyboard, and any other hardware that you need to deliver your best work.
Let's shape the future of mobile together!
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