27 May 2023
Full-Time Data Scientist – Demand Forecasting – Abha
We’re on the lookout for a Data Scientist with an analytical and insights background to join our product team. In this job, you will have the uncommon chance to impact decision-making via your insights and thought leadership as a crucial component of our team.
Job Title : Data Scientist – Demand Forecasting
Location : Abha, Aseer, Saudi Arabia
Salary : $ 43.39 per hour.
Company : Synchrony Financial
Job Type : Full-Time
- The underlying structure and linkages of the data may be discovered and operationalized using supervised and unsupervised machine learning methodologies.
- Updated information is used to improve performance. Collects and analyzes data on existing and future best practice trends. Information about organizational and process concerns.
- 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.
- Handle your own process by locating and carrying out high-impact initiatives, prioritizing requests from outside parties, and ensuring that project completion occurs in a timely manner so that the outcomes may be put to good use.
- SQL, programming languages such as R or Python, and internal dashboards should all be used for data analysis. Conduct research on past buying patterns of customers and sales data, then make actionable suggestions.
- By using data analysis, the development team is able to come up with innovative ideas. Use statistical and machine learning methods to solve business problems. An entrepreneurial firm that has a big number of teams and customers may move swiftly.
- In addition to offering insights on current Product & Technology projects, you will come up with unique product growth prospects based on insights and develop momentum via influence. If you want to learn SQL, R, Python, Tableau, etc., you’ll have to create a balance between critical thinking and real hands-on analysis.
- 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.
- With a demonstrated capacity to work autonomously, this candidate has great time management abilities. Prioritizes daily chores and processes, and is able to multi-task. Completes department and individual job-related objectives on schedule and with high-quality output.
- We leverage massive data sets to identify strategies to enhance goods and processes, as well as models to evaluate how beneficial alternative actions are.
- Experience manipulating and analyzing huge datasets in statistical computer languages (Python, R, etc.) Experience with D3.js, matplotlib, etc. preferred. Machine learning methods such as Random Forest, SVM, k-NN, Nave Bayes, Gradient Boosting a plus.
- Confidence, diplomacy, and trust are required to inspire or per Work successfully with people within and outside the company to be successful in this role. Effective work requires constant cross-departmental communication to solve problems, share information, and brainstorm solutions.
- 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.
- At least two years of experience in a similar position is required for individuals with a Master’s degree in Statistics (or an equivalent quantitative subject). Predictive modeling, exploratory data analysis, and machine learning abilities.
- An advanced degree in computer science or a related technological discipline and five years of relevant work experience are also acceptable qualifications.