Godot Game Developer

1.Proven experience as a PPC Ads Specialist or similar role with a successful track record of managing and optimizing PPC campaigns.

2.In-depth knowledge & work experience of PPC platforms such as Google Ads, Bing Ads, and social media advertising platforms (Facebook, Instagram etc.)

3.Experience in Paid Search (PPC) / Create and manage Payper Click (PPC) campaigns.

4.Sound knowledge of keyword research tools, analytics platforms, and bid management systems.

5.Strong communication and collaboration skills.

6.Ability to work in a fast-paced, results-driven environment.

6.Certifications in Google Ads and other relevant platforms will be a plus.

1. A competent user of all internal systems, to include our employee records system (HRMS- SPINE)
2. Updating and maintaining HR systems, records, and reports with accurate employee data.
3. Undertake all required pre-employment checks, updating, and discussing with line manager and recruitment team as appropriate.
4. Providing MIS & monthly employee payroll data in support of the payroll subject matter expert.
5. Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.
6. Processing leavers, including preparing accurate, relevant documentation and updating systems accordingly.
7. Producing Information reports and complete any HR audit requirements and/or reporting as required.
8. Ensuring that the end-to-end HR process always supports a positive employee experience.
9. Following existing HR processes accurately and challenging these for ongoing efficiencies.
10. Supporting HR priority projects with any administrative activity
11. Responding to emails on behalf of the department
12. Providing ad-hoc administrative support to any of the other HR functions, as necessary and in line with business requirements.

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.