8 Mar
2023
Full-Time Data Scientist – Product – Ghayathi
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 : Data Scientist – Product
Location : Ghayathi, Abu Dhabi, United Arab Emirates
Salary : $ 43.21 per hour.
Company : Constellation Agency
Job Type : Full-Time
Qualifications:
- Manage your own process: identify and execute high-impact initiatives, assess external requests, and ensure that projects are completed in a timely manner so that the outcomes are usable.
- Using supervised and unsupervised machine learning approaches, uncover and operationalize the underlying structure and connections contained within the data.
- 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.
- Review the outcomes of the analytical model and synthesize your findings. Work with complicated business reports to help analyze and put them in perspective Based on a variety of parameters and assumptions, what-if simulations are run. It identifies anomalies, anomalous patterns, and metrics that are out of the specified range of acceptable values. Analyzes present patterns and future predictions to identify possible problems. The statistical and financial analysis of data is the responsibility of the person in question.
- Work autonomously and efficiently. Prioritizes everyday work and can multitask. Finishes department and personal objectives on schedule and well.
- Analyze data using SQL, scripting languages (like R or Python), and internal dashboards. Make recommendations based on past customers’ purchasing habits and sales data.
- Constantly looking for ways to improve and taking action on those findings Risk-taking, alternative methods, and organizational learning are all encouraged by this framework. Personal commitment to change is shown via actions and words. During times of stress and uncertainty, you can help people embrace change.
- 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.
- Constantly improves performance by using current information. Data on current and future best practice trends and trends is gathered and analyzed by this department. Investigate issues with development in the context of the company and its processes.
- Aside from supplying information on Product & Tech activities, you’ll come up with fresh product growth possibilities and build momentum via influence. Hands-on arithmetic and critical thinking must be balanced in order to be effective.
Skills:
- A working knowledge of the majority of the following quantitative fields: natural language processing, information retrieval, machine comprehension, question answering/conversational artificial intelligence, reinforcement learning, knowledge graph, causal inference, and design of experiment.
- Statistical computer languages (Python, R, etc.) are recommended for manipulating and analyzing huge datasets. Preferable is knowledge of data visualization technologies like D3.js and matplotlib. Experience with methods such as Random Forest, SVM, k-NN, Nave Bayes, and Gradient Boosting would be advantageous.
- 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.
- With diplomacy and trust, it is possible to inspire or persuade. To be successful in this role, you must be able to work successfully with both internal and external stakeholders. With the right communication throughout the many divisions and departments of an organization, one may effectively carry out their duties.
- Doctorate in Computer Science with research publications in Virtual Assistant/Natural Language Processing OR Master’s degree in Computer Science, Statistics, Data Science, or a related technical field with five years of relevant work experience.