Senior Data Scientist
פורסם לפני 30 ימים · 49 מועמדים
התפקיד במילים פשוטות
בתפקיד זה, תצטרף לצוות שאחראי על מרכיבי הליבה של המערכות, כולל כלכלה, פילוח, כלי ניתוח מתקדמים ומאמצי הרחבת שיווק. תשתמש בסטטיסטיקה מתקדמת, למידת מכונה ואלגוריתמי AI כדי לפתח מודלים של מדעי הנתונים, לתרום לקבלת החלטות עסקיות ולשפר מדדי ביצועים. כמו כן, תפקח ותשפר באופן רציף את ביצועי המודלים באמצעות בדיקות וניסויים.
- 5+ years of working experience in the field of Data Science or Machine Learning
- Experience with neural networks and deep learning
- Experience with time series data
- BSc degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field
- Proficiency in programming using Python and version control
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למדען נתונים בכיר עם ניסיון של 5+ שנים בתחום, בעל ניסיון ברשתות נוירונים, למידה עמוקה ונתוני סדרות זמן. נדרשת מומחיות בתכנות בפייתון, בקרת גרסאות ושפות שאילתה כמו SQL. מועמדים בעלי ניסיון בתעשיית הגיימינג יהנו מיתרון.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןDescription
Play Perfect is a fast-growing mobile gaming company that provides entertainment to millions of users around the world. The company is headquartered in Tel Aviv.
With a team of talented and passionate developers, designers, industry experts and gamers, Play Perfect is at the forefront of creating immersive gaming experiences that engage players on a whole new level.
As we continue to push the boundaries of what is possible in gaming, Play Perfect is poised to shape the future of the industry and redefine what it means to be a skill-based gaming company.
As we expand, we're looking for a rockstar Senior Data Scientist to join our great team.
As a Data Scientist, you will join the team responsible for the core elements of our systems - ranging from core economy, through segmentation, advanced analysis tools and up to our marketing expansion efforts. You will use advanced statistics, machine-learning and AI algorithms, leveraging real and synthetic data to help us grow and become the leader of our industry.
Responsibilities
• Develop data science models to support production systems
• Contribute to business decision-making and improve KPIs across various areas using advanced data analysis tools
• Continuously monitor and improve models performance through testing and experimentation.
• Find creative and efficient solutions to complex data-related problems that include dynamics, causality, optimizations, clustering and online-learning,
• Collaborate with cross-functional teams including game economy, development, and marketing to identify data-driven solutions and implement them.
• Communicate findings, insights and innovations 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.
Requirements
• 5+ years of working experience in the field of Data Science or Machine Learning.
• Experience with neural networks and deep learning (must).
• Experience with time series data (must).
• BSc degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in programming using Python and version control.
• Proficiency in querying languages like SQL.
• Strong experience in data analysis, statistical modeling, and machine learning.
• 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.
• Experience in the gaming industry or with gaming-related data is an advantage.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 5+ years of working experience in the field of Data Science or Machine Learning, Experience with neural networks and deep learning, Experience with time series data, BSc degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field, Proficiency in programming using Python and version control