27 May
2023
Full-Time Research Data Scientist – Tereeb
Job Description
We are looking for people that are clever, inquisitive, and technically competent to join our cutting-edge data science team. We employ the finest and brightest and provide them with the chance to work on cutting-edge technology. In this job, you will be able to provide new ideas and solutions that will increase our capacity to target the correct audience, extract insights, and give superior measuring methods for marketing campaigns. To fuel your ideas, you’ll have access to our core data asset and machine learning infrastructure.
Job Title : Research Data Scientist
Location : Tereeb, Aseer, Saudi Arabia
Salary : $ 43.52 per hour.
Company : NOOM Inc.
Job Type : Full-Time
Qualifications:
- It is necessary to understand and summarize model findings. Facilitates the comprehension of complicated business reports. Perform several what-if scenarios. Unacceptable procedures and exceptions are identified. Predicts accurately future issues based on present trend assessments. Financial and statistical facts are analyzed.
- Transforms current knowledge into performance-enhancing actions. Collects and analyzes data or information on existing and prospective best practice trends. Inquires about concerns affecting the advancement of organizational and process difficulties.
- Identifies and takes action on possibilities for continual development. Risk-taking, alternative techniques, and organizational learning are all encouraged by this policy. Demonstrates a personal commitment to change by doing and talking about it. In times of stress and uncertainty, you may help people embrace change by offering support and guidance.
- In addition to providing insights on Product & Tech operations, you’ll help develop new product growth prospects and momentum. Analytical skills like as SQL, R, Python, and Tableau need to be matched with critical thinking.
- I’m a self-starter who has excellent time management and organizational abilities. Organizes and prioritizes daily tasks and procedures, and is adept at multitasking. Successfully accomplishes both department and personal goals on time and with excellent results.
- Utilize SQL, programming languages like R or Python, and internal dashboards to dig into your data and find patterns.. Provide unambiguous suggestions based on historical customer behavior and sales information.
- Make use of machine learning techniques to uncover the data’s true structure and relationships.
- 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.
- Proficient in using huge data sets to identify possibilities for product and process improvement and models to evaluate the efficacy of alternative courses of action, with a demonstrated ability to achieve business outcomes via database insights.
- Help the development team come up with fresh ideas by working directly with them and using data analysis. The goal is to use statistical and machine learning approaches to handle specific business problems and data. An entrepreneurial firm’s fast-paced environment necessitates collaboration across several teams and clients.
Skills:
- If you have a Master’s degree in Statistics (or a related quantitative subject), you’ll need at least two years of experience in a similar position. Predictive modeling, big data analytics, exploratory data analysis, and machine learning expertise.
- Information retrieval, machine comprehension, question answering and conversational artificial intelligence, reinforcement learning, knowledge graphs, causal inference, and experimental design are some of the topics covered.
- PhD in Computer Science with numerous research publications in Virtual Assistant/Natural Language Processing, or Master’s Degree in Computer Science, Statistics, Data Science, or related technical area with at least five years relevant work 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.
- 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.