19 Mar
2023
Full-Time Data Scientist, Health Economics – Wadi Al Fora’a
Job Description
We’re looking for a Data Scientist. As a member of the Team, you will collaborate with professionals to create systems and solutions to keep our planet safe. Our culture values intellectual curiosity, cognitive variety, and bringing your complete self to work, and we have an insatiable desire to achieve the impossible. Our personnel are not only a part of history, but they are also producing it. Join us and kickstart your career.
Job Title : Data Scientist, Health Economics
Location : Wadi Al Fora’a, Medina, Saudi Arabia
Salary : $ 45.57 per hour.
Company : Dice
Job Type : Full-Time
Qualifications:
- Taking charge of your own workflow means identifying and implementing high-impact initiatives, prioritizing third-parties’ need for services, and making sure projects are finished on schedule.
- Using supervised and unsupervised machine learning approaches, uncover and operationalize the underlying structure and connections contained within the data.
- Use SQL, scripting languages like R and Python, and internal dashboards to come up with short-term and long-term solutions. Make clear suggestions based on data analysis of how customers have behaved in the past and how sales have gone.
- 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.
- With a demonstrated ability to deliver business outcomes with database insights, adept at analyzing massive data sets to uncover possibilities for product and process improvement.
- Excellent time management skills and capacity to work alone. Multitasks and prioritizes everyday duties. Meets department and personal objectives on schedule and well.
- Enhances performance by translating current knowledge into continuous improvement actions. Collects and analyzes information or data on present and future best practice trends. Seeks information on factors affecting the advancement of organizational and process-related factors.
- Collaborate closely with the development team to come up with fresh ideas based on data analysis. Statistical and machine learning approaches may be used to handle specific business problems and data. Work in a fast-paced environment with several teams and clients in an entrepreneurial company.
- Analyze, interpret, and summarize the findings of the analytical model. Interprets and contextualizes complicated business reports. Runs what-if scenarios based on a variety of variables and assumptions. Identifies out-of-tolerance metrics, positive and negative trends, and exceptions to predefined limits and ranges. Identifies prospective issues based on current trend estimates. Analyzes data statistically and financially.
- Opportunities for continual improvement are identified and taken advantage of. Encourages calculated risk-taking, alternative strategy discovery, and organizational learning. Through acts and words, shows a personal commitment to change. Through times of stress and uncertainty, assists others in accepting change.
Skills:
- PhD in Computer Science with a significant amount of research papers in the areas of Virtual Assistant and Natural Language Processing OR Master’s degree in Computer Science, Statistics, Data Science, or comparable technical field with 5 years of relevant job experience.
- A master’s degree in statistics, computer science, mathematics, or another quantitative area is essential, as is at least 2-3 years of experience in a comparable capacity. Expertise in using predictive modeling, big data analytics, exploratory data analysis, and machine learning for substantial commercial effect
- The capacity to encourage or persuade people is a big aspect of the profession, which requires a substantial amount of diplomacy and trust. 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.
- Data manipulation and analysis using statistical computer languages (Python, R, etc.) is a must. A familiarity with data visualization technologies such as D3.js and matplotlib is desired. A thorough knowledge of machine learning methods such as Random Forest, SVM, k-NN, Nave Bayes, and Gradient Boosting is an asset in this role.
- Information retrieval, machine understanding, question answering/conversational AI, reinforcement learning, knowledge graphs, causal inference, and experimental design: natural language processing