לוח משרות דרושים סטטיסטיקאים במרכז

Requirements:
2+ years of analytical work experience, preferably as a Game economist in the gaming industry.
Degree in Mathematics, Statistics, Computer Science, Industrial Engineering, or another relevant degree.
Proficient knowledge of SQL and excellent skills in Excel - a must!
Experience with BI tools such as Power BI, Looker, or Tableau.
High level of analytical and problem-solving skills with strong attention to detail.
Adaptable self-starter with strong communication skills.
Advantages:
Familiarity with big data tools and analytics suites (e.g., Google Analytics, Google Firebase, BigQuery, Snowflake, Unity Analytics, deltaDNA).
Experience with scripting language tools - Python, R, or MATLAB.
Deep understanding of A/B testing methodologies.
Experience in the game industry.
Previous experience working closely with game developers, ideally inside a team.

Requirements:
Educational Background: Bachelors degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
Experience Requirements: At least 2 years of experience in a data analysis role, preferably in a B2B SaaS company.
SQL Proficiency: Strong command of SQL for complex querying, data manipulation, and analysis.
Business Intelligence Tools Expertise: Demonstrated experience with BI tools such as Looker, Tableau, and other similar platforms. Ability to leverage these tools to derive business insights and drive decision-making.
Excel Mastery: Proficient in Microsoft Excel with a strong understanding of advanced functions, data visualization, and spreadsheet modeling for data analysis purposes.
Preferred Skills:
Excellent problem-solving skills and the ability to communicate complex data clearly and concisely.
Experience in managing large datasets and creating strategic insights from data.
Ability to work independently and in a team-oriented, collaborative environment.

Requirements:
BSc/BA in a highly quantitative field such as Economics /Industrial Engineering/ Statistics
Hands on campaign management experience in paid social - a must
Previous experience in performance marketing / E-commerce company - a must
2-4 years of experience as an Business/marketing/financial analyst - a plus
Fast learner with high attention to details, and proven ability to multitask on several projects at a time
High analytical skills and the ability to deep dive into details
Driven by business goals, with a deep understanding of Business & Marketing
Experienced with SQL (Big Query) and data visualization tools (Looker) - a plus

Requirements:
4+ years working as a Backend engineer in a web environment
In Depth understanding of OOP, SOLID and know functional programming principles
Can understand and write multi-threaded code, specifically a web server's request lifecycle
Have an excellent understanding of database systems, relational and otherwise, including big data applications
Are able to conduct performance analysis for a system and find its bottlenecks
Familiar with Linux development
Broad knowledge of modern backend and frontend frameworks, tools, and architecture
Experience working on a high scale, production-grade projects
B.Sc. in Computer Science or Mathematics (or equivalent experience) is a big plus
Result oriented, self-motivated, fast learner, can do attitude and a great team player
Experience with Python + SQL - major advantage
Experience with Pandas/SQL-alchemy - advantage

Requirements:
At least 3 years of experience working as a Data Engineer
At least 3 years of experience working in python development with emphasis on data analysis tools such as numpy, pandas, polars, Jupyter notebook.
Hands-on experience with Spark for large-scale batch processing.
Hands-on experience working with AWS data processing tools and concepts.
Proven understanding in designing, developing and optimizing complex solutions that move and/or manipulate large volumes of data.
Sound understanding of partitioning and optimization techniques of different big data file formats (such as Parquet, DeltaLake, AVRO, HDF5)
Experience with Docker, Linux, CI/CD tools and concepts, Kubernetes.
Experience with data pipelining tools such as Airflow, Kubeflow or similar.
BSc / MSc degree in Computer Science/Engineering / Mathematics or Statistics.
Understanding of ML concepts and processes.
Advantage:
Hands-on experience with DataBricks platform.
Experience working on large scale and complex on-premises systems.
Hands-on experience in ML frameworks and models training and implementation.
Hands-on experience in lower-level programming languages such as C++ or RUST

Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field
5+ Years of experience of ML research/Deep Learning/Data Mining etc
Experience with software engineering in Python / C++
Strong statistical analysis and mathematical skill
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined

Requirements:
3+ years of experience working in as a product analyst position in a high data-rich environment
Hands on experience analyzing users behaviors in applications/web
BSc/BA in a highly quantitative field such as mathematics, statistics, or engineering
Strong hands-on experience with SQL and BI tools (preferably Tableau) a must
Excellent communication skills with the ability to deliver results of analyses clearly and effectively
Fast learning capabilities and proven ability to multitask working on several projects at a time
Passion for sports advantage.

Requirements:
1+ years of experience in game economy - MUST
Advanced analytical skills, ability to spot patterns and trends
Bachelors Degree in Economics/Mathematics/Engineering or another quantitative field MUST
Excellent Excel skills MUST
SQL knowledge MUST
Knowledge and experience with online/multiplayer/social/free-to-play games BIG advantage
Enjoy working with numbers, formulas, data analysis