18 Mar 2023

Full-Time (Sr) Data Scientist, Marketing – Manama

IBM – Posted by JobsTeam Manama, Manama, Bahrain

Job Description

We are searching for a Data Scientist to assist us in aggressively innovating with data. You should be inquisitive by nature, consider yourself a data artist and storyteller, have an ownership, solution, and action attitude, and be able to influence a cross-functional team that works quickly with intent and purpose.

Job Title : (Sr) Data Scientist, Marketing
Location : Manama, Manama, Bahrain
Salary : $ 45.12 per hour.
Company : IBM
Job Type : Full-Time


  • Model findings should be summarized. Clarifies complicated business reporting. Do what-ifs. Aware of undesirable procedures and exceptions. Predicts future issues based on existing trends. Financial and statistical data analysis.
  • Analyze data and provide recommendations based on that analysis to the development team. The use of statistical and machine learning techniques to solve particular business issues and data sets In a fast-paced entrepreneurial atmosphere, work with a variety of teams and clients.
  • Opportunities for ongoing development are seen and taken advantage of Risk-taking, alternative methods, and organizational learning are all encouraged by this strategy. Through both acts and words, demonstrates a personal commitment to change. Encourages people to embrace change in the face of anxiety and worry.
  • Uses up-to-date information to create activities for continuous improvement that improve performance. Collects and looks over information or data about current and future best practice trends. tries to find out about things that could affect the progress of organizational and process issues.
  • You’ll create new growth opportunities for products and have an effect on momentum, as well as give information about how Product & Tech operations work. Analyzing SQL, R, Python, and Tableau must be balanced with critical thinking.
  • So you can take control of your workflow, you must prioritize third-party requests and accomplish tasks on time.
  • Make use of machine learning techniques to uncover the data’s true structure and relationships.
  • Exhibits great time management abilities as well as the capacity to work autonomously. Multitasks and prioritizes everyday chores and processes. Completes department and individual job-related objectives on schedule and at a high standard.
  • Deep dig into the issues utilizing SQL and scripting languages such as R, Python, and internal dashboards, and drive both quick and long term solutions. Analyze data (previous customer behavior, sales inputs, and other sources) to identify patterns, and provide reports including clear suggestions.
  • Ability to produce business results through database insights.


  • Master’s degree in Statistics, Computer Science, Mathematics or other quantitative field essential, 2-3 years in equivalent function (Master’s Degree). Predictive modeling, big data analytics, exploratory data analysis, and machine learning experience.
  • Diplomacy and trustworthiness are essential to the position, which necessitates the capacity to urge or persuade people To be successful in this role, you’ll need to be able to work well with people on both the inside and outside of the organization. To do one’s job well, one must constantly engage in interactions that need extensive discussion of issues, the dissemination of information, and finding solutions across several departments and divisions.
  • Information retrieval, machine understanding, answering questions/conversational AI, reinforcement learning, knowledge graphs, causal inference, and experimental design are some of the things that AI is getting better at.
  • The ability to work with large datasets in statistical programming languages (Python, R, etc.) A familiarity with D3.js, matplotlib, etc. is desired. Random Forest, SVM, k-NN, Nave Bayes, Gradient Boosting, and other machine learning algorithms are a bonus.
  • An advanced degree in computer science or a related technological discipline and five years of relevant work experience are also acceptable qualifications.

How to Apply

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Job Categories: Data Scientist. Job Types: Full-Time.

Job expires in 24 days.

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