Position: Data Scientist / Product Analyst
Company: iriSmart
Experience required: 3y
Category: Data Science
English level: intermediate
Published: 2023-06-01T00:00:00+03:00

**COMPANY:**
**Product, Gamedev.** Staffing: 100+ employees.
They have been working since 2018.
**Offices:** Cyprus, Armenia.

The studio is independent, works on its own money, does not need investments.
Work approaches: Data-driven, Ad-driven.
There are partnerships with teams: Google, Facebook, Unity, Apple Search Ads.
Specializes in the development of mobile casual games.

**PROJECT:**
Genre - casual.
Stages: LiveOps worldwide.
Monetization: advertising.
Platforms: Android, iOS.
Installs ~300 million. 20 million monthly users.

**TEAM:**
Analytics team - 2 people:
Head - Analytics Team Lead
and Junior/Middle Product Analyst.
Also, the R&D department has its own analyst - there will be no intersections with him yet.

**Analytics Team Lead** is a very open person, shares experience, listens to opinions, has a fresh look, and is always for new ideas.
Now he is responsible for all analytics in the company: product, marketing, analytics system, ML.

**RESPONSIBILITIES:**
- conduct exploratory data analysis to identify patterns and trends in large datasets;

- develop and implement ML models to improve product performance (LTV, recommender system, advertising waterfall configuration, etc.);

- cross-team communication to define data requirements and develop solutions to improve our performance;

- develop and maintain Data pipelines for accurate and timely data processing;

- keep abreast of trends and innovations in the field of data science.

**Directions of tasks:**
1) UA with ML - economic models, forecasts for traffic assessment: develop, deploy and maintain in working condition, incl. determine fraud.

2) In the product - for example, the creation of a recommender system, user segmentation to increase revenues.

3) Advertising monetization - automation of waterfall setups, creation of their configurations. Predict which waterfall configurations will be useful.

**REQUIREMENTS:**
- 3+ years of experience in Data Scientist and ML;
- solid experience with Python, incl. with Pandas, Numpy and Scikit-learn libraries;
- experience with SQL;
- experience with data visualization tools such as Tableau or Power BI;
- experience in product analytics **would be a plus;**
- experience with tasks in User Acquisition, advertising monetization **will be a plus;**
- ability to work independently and as part of a team.

**BENEFITS:**
- relocation and legal registration in Armenia or Cyprus on a work visa.
Tax compensation;
- vacation - 28 calendar days and paid sick leave;
- flexible convenient work schedule. The working day starts from 9:00 to 11:00, but the team is ready to agree on another convenient schedule;
- medical insurance, social package.

**STAGES:**
1. Interview with a recruiter in Google Meet.
2. Technical interview with Analytics Team Lead.
3. Interview with HR.

After that, we are ready to make a decision about the offer.