26 May 2023

Full-Time Data Scientist, Behavioral Research – Al Quwaiiyah

Visiting Nurse Service – Posted by JobsTeam Al Quwaiiyah, Riyadh, Saudi Arabia

Job Description

Data Scientist needed. As a Team member, you’ll collaborate with specialists to build safe systems and solutions. Our culture values intellectual curiosity, cognitive variety, and bringing your complete self to work. Our people are creating history. Come work with us.

Job Title : Data Scientist, Behavioral Research
Location : Al Quwaiiyah, Riyadh, Saudi Arabia
Salary : $ 44.32 per hour.
Company : Visiting Nurse Service
Job Type : Full-Time


  • So you can take control of your workflow, you must prioritize third-party requests and accomplish tasks on time.
  • Transforms current knowledge into performance-boosting continuous improvement initiatives. Collects and analyzes data on present and future best practice trends and trends. Seek details about organizational and process concerns affecting growth.
  • Exhibits exceptional time management and the ability to work autonomously. Prioritizes everyday chores and processes and is multitasking capable. Meets departmental and individual job-related objectives on schedule and with high-quality outcomes.
  • Adept in utilizing huge data sets to identify possibilities for product and process improvement, as well as models to assess the efficiency of various courses of action, with a demonstrated ability to generate business outcomes via database insights.
  • In-depth analysis of issues utilizing SQL and scripting languages such as R, Python, and internal dashboards to provide short- and long-term solutions. Analyze data (previous customer behavior, sales inputs, and other sources) to determine patterns, and provide reports with clear suggestions.
  • The development team can come up with fresh concepts thanks to data analysis. Solve business challenges using statistical and machine learning techniques. An entrepreneurial company with a large number of teams and consumers is able to operate quickly.
  • Interpret and summarize model findings. Helps with business reporting. What-if scenarios Unacceptable procedures and exceptions are revealed. Based on trend estimates, accurately forecasts future difficulties. Analyzes finance and stats.
  • In addition to providing insights on Product & Tech activities, you’ll come up with new product growth prospects and develop momentum via influence. Critical thinking and hands-on analyses utilizing SQL, R, Python, Tableau, etc. must be balanced.
  • Identifies and implements continuous improvement possibilities. Encourages cautious risk-taking, alternative strategy discovery, and organizational learning. Through acts and words, demonstrates a personal commitment to change. Encourages people to embrace change in the face of stress and uncertainty.
  • Explore and operationalize data structure and connections using supervised and unsupervised machine learning.


  • Diplomacy and trust are necessary to inspire or persuade. To thrive in this role, you must collaborate successfully with both internal and external stakeholders. To do one’s duties effectively, one must constantly interact across departments and divisions in order to address problems, offer information, and find solutions.
  • Utilizing statistical programming languages to do analysis on huge datasets (Python, R, etc.) A working knowledge of D3.js, matplotlib, and other similar programs is preferred. It is a wise decision to implement several machine learning strategies, such as Random Forest, SVM, k-NN, Nave Bayes, and Gradient Boosting.
  • If you hold a Master’s in Statistics (or an equivalent quantitative discipline), you’ll require two years’ experience. Machine learning, predictive modeling, big data analytics, exploratory data analysis.
  • Master’s degree in computer science, statistics, data science, or an equivalent discipline with five years of relevant job experience.
  • Information retrieval, machine understanding, question-answering/conversational AI, reinforcement learning, knowledge graphs, causal inference, and experimental design are all examples of this kind of technology.

How to Apply

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

Job expires in 24 days.

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