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12,00,000 - 22,00,000 PA. Openings: 2 Posted 20 days ago Job Applicants: 220 Job Views: 612

Job Description

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    A Bit About Us:

    We are a global team of 60 gaming junkies who are managing one of the worlds largest living libraries of video game data. From detailed game breakdowns to video trailers, our database has information on over 95,000 games across 160 platforms and were growing every day.

    We are hoping to find passionate and like minded professionals who will help us innovate the industry and continue our commitment to providing our big business clientele with the most current, accurate, and detailed gaming data around.

    Where You Fit In:

    Calling all AI experts! Gameopedia is on the hunt for a senior data scientist to spearhead our effort to create a revolutionary new video game recommendation engine that leverages our extensive metadata. You will be required to create and use advanced machine learning algorithms, perform advanced analytical and statistical modeling and much more to solve complex problems. You will work closely with other data scientists and data analysts to deliver intelligent analytical solutions to improve and innovate our data quality and ranking solutions.

    Key Responsibilities:
    • Selecting features and building recommendation engines using machine learning techniques. 
    • Data pre-processing using state-of-the-art methods.  
    • Enriching the company's data from third-party sources when required. 
    • Enhancing data collection procedures to include information that is relevant for building analytical systems. 
    • Creating automated anomaly detection systems and constant tracking of the performance of the Recommendation Engine.  
    • Develop custom data models and algorithms to apply to data sets. 
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques.  
    • Coordinate with various devs and businesses to implement models and monitor outcomes. 
    • Develop processes and tools to monitor and analyze model performance and data accuracy.

    Required Skills:  

    • Must have experience with working on Recommendation Systems. Must be well-versed with deep learning frameworks such as TensorFlow or Keras.  
    • Must be proficient in Python and other machine learning languages. 
    • Must possess the ability to approach a data science problem and find smart and relevant solutions. 
    • Deep understanding of data structures, data modeling and software architecture.  
    • Ability to conduct rigorous analysis of data and chart out clear take away(s) from Big Data sources. 
    • Must be proficient in Natural Language programming.
    • Must have extensive knowledge of probability and statistical skills, model selectors, advanced regression techniques like AIC, BIC, HyperParameters, Content based and Collaborative Filtering methods, etc. 
    • Python packages such as Numpy, Scipy, Pandas, Sklearn, Matplotlib and Tensorflow/Keras.  
    • Experience with various messaging systems, such as Kafka or RabbitMQ will be considered a plus. 
    • Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O is preferred.  
    • Implementation including loading from disparate data sets, preprocessing using Hive and Pig will add huge value.  
    • Must be able to assess the scope of Big Data solutions and deliver on them.  
    • Should possess the ability to design solutions independently based on high-level architecture.  
    • Should co-ordinate the technical communication between the survey vendor/partner and internal systems.  
    • Must be capable of maintaining the production systems (Kafka, Hadoop, Cassandra, Elasticsearch). 
    • Collaborate with other development and research teams. Experience with building stream-processing systems, using solutions such as Storm or SparkStreaming.  
    • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB. 
    • Experience with integration of data from multiple sources. 
    • Setting up and Management of Hadoop cluster, with all included services. 
    • Deploying the model into production, detecting anomalies, fine tuning HyperParameters, and cross validating as needed. Estimating resources, GPU requirements, analyzing cost of running a continuous. recommendation engine, ensuring stability of the model, performance, accuracy etc. 
    • Hands on experience with Machine Learning/Deep Learning algorithms such as Linear Regressions, Logistic Regression, Decision Tree, SVM, Random Forests, Bagging and Boosting, Recommendation systems, ANN, CNN & RNN etc.  
    • Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Spark, Flink, etc. Experience using web services: Redshift, S3, etc. 
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees etc. 
    • A Kaggle profile with a list of relevant projects is preferred. 
    • Good hold of data architectures, competitive coding challenges is preferred. 
    • Experience building data pipeline, knowledge of DevOps and application monitoring systems is preferred. 
    • 3+ years of experience in Spark, HBase, Hive, Sqoop, Oozie, Flume, Java, Pig, Python etc.

    Other qualities we look for:

    Build Collaborative partnerships: Must be able to build a powerful team profile to ensure you are recognized and respected as a strong leader. Should demonstrate a natural ability to build mutually beneficial partnerships with stakeholders at all levels, internally and externally.  
    Consulting Advisory Services: Should be able to provide expert knowledge and recommendations that will contribute to the growth of the business. 
    Result Oriented Work Ethic: Should display strong thought leadership and take responsibility for the teams performance, holding all stakeholders accountable as and when required.
    Anticipate The Needs of the Industry: Must be able to predict or anticipate business issues or problems for which Gameopedia can provide solutions, and identify and evaluate their feasibility. 
    Build Talent: Should be able to promote and encourage a culture of continuous learning and growth across the team. 
    Agile and innovative: Must possess intellectual flexibility and strong lateral thinking abilities. 
    Purposeful and aligned: Must have the ability to set clear, tangible objectives which deliver against our strategy. 
    Coach: Must demonstrate the ability to coach, mentor, inspire and develop others while facilitating learning, growth, and engagement.  
    Intellectual curiosity: Must have an insatiable thirst for knowledge and be continuously motivated to understand our system better.

    Experience and Education: 

    Experience: 5 to 10 years 
    Education: Masters/B.Tech/M.Tech in Engineering, Applied Math, Statistics


    • Competitive salary. 
    • Health insurance. 
    • Flexible working arrangements. 
    • Casual dress code. 
    • Collaboration friendly office.

Salary: INR 12,00,000 - 22,00,000 PA.

Industry: Media, Entertainment, Internet

Functional Area: IT Software - DBA , Datawarehousing

Role Category:Programming & Design

Role:Database Architect/Designer

Employment Type: Full Time, Permanent



UG: B.Tech/B.E. - Any Specialization, B.Sc - Any Specialization

PG:MCA - Computers, M.Tech - Any Specialization, MS/M.Sc(Science) - Any Specialization

Company Profile:

Gameopedia Data Solutions Private Limited

Gameopedia is a rapidly growing Norwegian company that has dedicated itself to revolutionizing the way video game data is presented and used.

With teams in Norway and India, we have created one of the largest video games databases in the world that comprehensively covers all aspects of all video games on the various major and minor gaming platforms. Our clients include some of the biggest businesses in Europe, The Middle-East and North America.
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Job Posted by

Asit Kumar HR Generalist Gameopedia Data Solutions Private Limited Hyderabad / Secunderabad


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