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Data Scientist

Tel Aviv District, Israel (Hybrid)

Data Scientist

1 Month ago • 3 Years + • Data Analyst • Undisclosed

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

python

sql

data-science

communication

cross-functional

Job Description

Moon Active seeks a Data Scientist to develop data science models impacting business KPIs. Responsibilities include analyzing complex datasets, identifying trends, monitoring model performance, executing projects end-to-end (from requirements to production implementation), collaborating with cross-functional teams, and communicating findings to stakeholders. The ideal candidate possesses 3+ years of experience in data science, proficiency in Python and SQL, strong analytical and modeling skills, and excellent communication abilities. Experience with A/B testing and the gaming industry is advantageous.

Must have:

3+ years Data Science experience
Proficiency in Python & SQL
Strong analytical & modeling skills
Excellent communication skills
A/B testing experience

Good to have:

Gaming industry experience

Description

Moon Active is one of the world's fastest-growing mobile game companies, providing entertainment for millions of active users across the universe. The company is headquartered in the heart of Tel Aviv.

We're looking for a sharp and passionate Data Scientist to join our top-notch Data Science team.

Using your technical and analytical skills, your mission will be to develop Data Science models in purpose to directly impact the business KPIs in various areas.

Responsibilities

Develop data science models to support business decision-making and improve KPIs across various areas.
Analyze complex data sets to identify trends, patterns, and insights.
Continuously monitor and improve model performance through testing and experimentation.
Execute projects end-to-end from requirements gathering, data mining, and exploration up to full implementing in production
Collaborate with cross-functional teams including product, engineering, and marketing to identify data-driven solutions.
Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements and trends in data science and machine learning.
Creating a framework of technical standards and procedures.

Requirements

3+ years of working experience in the field of advanced research using Data Science tools
BSc degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
Proficiency in programming languages such as Python and SQL and data science toolkits.
Strong experience in data analysis, statistical modeling, and end to end machine learning flow: data extraction, feature engineering, model building and performance evaluation.
Experience in AB testing
Excellent communication skills and the ability to present complex data in a clear and concise manner.
Strong problem-solving skills and the ability to think creatively to develop innovative solutions.
Self-learner, strong can-do attitude and great interpersonal skills
Working experience in the gaming industry - an advantage

#LI-Hybrid

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