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Sabre India

Data Scientist

Sr Software Quality Engineer

Take your Unity skills to the next level with Part 3 of this quiz, covering scripting, physics, rendering, and performance optimization!

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Test your Unity knowledge with this comprehensive quiz, covering everything from MonoBehaviour basics to advanced physics, rendering, and optimization techniques across multiple difficulty levels!

Assess your knowledge of Unity's Rigidbody component and its advanced physics interactions with this in-depth quiz!

Test your understanding of Unity’s Physics, Movement, and MonoBehaviour with this insightful beginner-friendly quiz!

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Test your basic knowledge of Unity and Unreal Engine with this beginner-friendly quiz on game development fundamentals.

This assessment evaluates your understanding of Unity's component-based architecture, how GameObjects and their components interact, the hierarchy system with nested GameObjects, and how to reference them in scripts.

This assessment evaluates your understanding of Unity's NavMesh system, including navigation baking, NavMeshAgents, pathfinding, obstacles, and scripting interactions with NavMesh to create AI-driven movement.

An assessment to test the correct usage of Unity's events and lifecycle functions in the context of the game "Clash Royale"

- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your OOPs skills! 📋- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills - Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Unity Skills 📋 - This assessment gives us an idea of your Unity fundamentals - Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

STAGE

Business Analyst - Content

JustPlay

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Hasbro

Senior User Experience Designer

Senior UX Writer

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Merchandising Specialist

Product Quality Engineer

Art Director, Magic: The Gathering

Associate Narrative Designer, Magic: The Gathering

As a Business Analyst - Content, you'll analyze complex data sets to understand user behavior, improve content recommendations, and optimize user experience.  You will work with cross-functional teams (product, engineering, content, marketing) to ensure data-informed decisions. Key responsibilities include tracking and analyzing content performance across cultures, creating dashboards and reports, analyzing viewer preferences, supporting content acquisition with performance insights, and building forecasting models to predict content success and ROI.  The role requires strong analytical skills, proficiency in SQL, Excel, product analytics tools (Mixpanel, Amplitude), and BI tools (Tableau).

Creative Manager

Creative Head

Content Acquisition Executive

Creative Content Manager - Bhojpuri Web Series

Bhojpuri Promotional Writer

Video Editor

Poster Designer

Brand Marketing Executive

Accountant

<div id="cw-rich-description" style="color:#171B27; margin-bottom: 32px;"> About the opportunity : As a Business Analyst - Content, you will play a critical role in analysing and interpreting complex data sets to help us understand user behaviour,improve content recommendations, optimize user experience, and drive strategic decisions. You will work closely with cross functional teams, including product, engineering, content,and marketing, to ensure our day-to-day work is strongly data-informed. <div> </div>Key responsibilities: <ol><li dir="ltr">Track and analyse content performance across regional cultures. </li><ul><li dir="ltr">Analyse metrics like watch time, completion rates, and engagement for content in different cultures </li><li dir="ltr">Compare performance across cultures to identify successful content patterns </li></ul><li dir="ltr">Create content performance dashboards and reports </li><ul><li dir="ltr">Build automated dashboards showing key content metrics </li><li dir="ltr">Generate regular reports on content performance for stakeholders and content team </li></ul><li dir="ltr">Analyse viewer preferences and behaviour by cultures and regions </li><ul><li dir="ltr">Study how different regions consume content. </li><li dir="ltr">Understand peak viewing times, preferred devices, and viewing patterns by cultures </li></ul><li dir="ltr">Support content acquisition with performance insights and forecasts </li><ul><li dir="ltr">Help acquisition team make data-driven decisions on content purchases </li><li dir="ltr">Predict potential performance of new content based on historical data </li></ul><li dir="ltr">Generate ROI analysis for content investments </li><ul><li dir="ltr">Calculate return on investment for different types of content </li><li dir="ltr">Compare ROI across cultures and genres </li></ul><li dir="ltr">Optimize content scheduling based on viewing patterns </li><ul><li dir="ltr">Recommend best release times for new content </li><li dir="ltr">Optimize content placement on platform based on viewing data </li></ul><li dir="ltr">Create content performance forecasting models </li><ul><li dir="ltr">Build models to predict content success </li><li dir="ltr">Develop viewership forecasts for new content releases </li></ul></ol>Our ideal candidate: Must have: ● 1-4 years of product analytics experience in a B2C context ● Proficiency with SQL, Excel, product analytics (Mix panel, Amplitude or similar) and Business Intelligence (Tableau or similar) tools ● Strong problem-solving skills and an insatiable curiosity to get behind the ‘why’of every problem statement ● Exceptional attention to detail and the ability to work both independently and collaboratively within a cross-functional team Should have: ● Ability to judge what metrics to measure for different problem statements ● Ability to design and run experiments independently ● Ability to write great analysis documents/notes to succinctly communicate your findings to a broad audience ● Experience designing event tracking schemas Nice to have: ● Experience in the OTT/entertainment industry <div dir="ltr"> </div><div> </div> </div>

Paid - Game Dev Bootcamp

Paid - Fullstack Game Development Bootcamp

Follow Mayank - career advice

Follow Mayank Grover for game development resources

Free | C# | Midnight Pizza Fight

Free | C++ | Lethos

Free | C++ | Pong

Paid - Game Programming Patterns

Paid - Game Programming with Programming Patterns

Follow Abhishek - tech content

Follow Abhishek Smith for game programming content

This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

Unity Event Functions - Clash Royale

Unity Component System

Unity NavMesh Agent

Game Dev Assessments

This Data Scientist role at Sabre focuses on leveraging advanced analytics to optimize revenue and customer experience within the airline industry.  Responsibilities include applying statistical and machine learning techniques to large datasets, developing predictive models for customer behavior and operational performance, collaborating with subject matter experts and software engineers, and presenting findings to various stakeholders.  The work involves data mining, model building, and deploying solutions on cloud services.  The ideal candidate possesses expertise in statistical analysis, machine learning algorithms, and programming languages such as R, Python, and SQL, along with strong communication skills.

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 Airline industry is going through a drastic transformation in the area of retailing and distribution that requires very advance data analytics support to optimize revenue performance and customer experience. Recently introduced concepts of Offer/Order Management and Continuous Dynamic Pricing significantly expand opportunities for engaging with travelers through multiple touch points and creating personalized offers accounting for individual preferences and market context. These practices can substantially benefit from a combination of statistical and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry. The Data Scientist applies expert level statistical analysis, data modeling, and predictive analysis on strategic and operational problems in airline business. As a key member of the Sabre Operations Research team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development team. In addition, you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and apply data mining and machine learning algorithms for advanced analysis and prediction. You will also utilize your strong communication skills to work with developers to support product development cycles and decision makers who need empirical data to promote sales and growth. Responsibilities <ul><li>Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance.</li><li>Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques.</li><li>Develop custom data models and algorithms to apply to data sets and run proof of concept studies.</li><li>Design market sampling framework and incorporate obtained feedback into predictive and prescriptive methodologies.</li><li>Collaborate with software engineers to implement and test production quality code for forecasting and data analytics models.</li><li>Develop processes and tools to monitor and analyze data accuracy and models’ performance. </li></ul>
Required Qualifications <ul><li>Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines.</li><li>Ability to apply modeling and analytical skills to real-world problems demonstrated over 3-5 years of experience.</li><li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li><li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.</li><li>Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools and programming languages such as Java, JavaScript or C++.</li><li>Experience working with and creating data architectures.</li><li>Experience with deployment of machine learning and statistical models on a cloud service</li><li>A drive to learn and master new technologies and techniques. </li></ul>
Desirable Qualifications <ul><li>Familiarity with airline, hospitality or retailing industries and decision support systems employed there.</li><li>Experience developing customer choice models, price elasticity estimation and market potential estimation.</li><li>Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts.</li></ul>

 
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