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23 May
2023
Part-Time Sr. Data Scientist, Amazon Style – Jebel Ali
Datadog – Posted by JobsTeam – Jebel Ali, Dubai, United Arab Emirates
Job Description
We need a Data Scientist to help the main product team. As a key component of our team, this job will have the uncommon chance to influence decision-making.
Job Title : Sr. Data Scientist, Amazon Style
Location : Jebel Ali, Dubai, United Arab Emirates
Salary : $ 43.72 per hour.
Company : Datadog
Job Type : Part-Time
Qualifications:
- 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.
- 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.
- 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.
- With the demonstrated capacity to create business outcomes with databased insights, we use massive data sets to uncover methods to enhance goods and processes, as well as models to figure out how beneficial certain actions are.
- In order to take control of your own workflow, you must identify and implement high-impact initiatives, prioritize requests from third parties, and make sure that projects are completed on time so that the results may be put to good use.
- Uses current information to increase performance. Best practice data is gathered and evaluated. Find more about business and process development concerns.
- 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.
- Deep dive on the problems using SQL and scripting language like R, Python and internal dashboards and drive short term and long term solutions, Analyze data (past customer behavior, sales inputs, and other sources) to figure out trends, and output reports with clear recommendations.
- It is able to discover and operationalize the underlying structure and relationships of the data using supervised and unsupervised machine learning approaches. This is possible to do. It is not difficult to achieve this objective.
- 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.
Skills:
- Large-scale data analysis in statistical programming (Python, R, etc.) D3.js, matplotlib, etc. experience desired. These approaches are useful in a variety of situations.
- Natural language processing, information retrieval, machine understanding, question answering/conversational artificial intelligence, reinforcement learning, knowledge graphs, causal inference, and experimental design: these are the topics that are covered by natural language processing.
- If you have a Master’s degree in Statistics (or a related quantitative topic), you will be required to have at least two years of experience working in a job that is comparable to the one you are applying for. Expertise in predictive modeling, analytics for large amounts of data, exploratory data analysis, and 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.
- OR Master’s degree in Computer Science, Statistics, Data Science, or a similar technical field with five years of relevant work experience.
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Job Categories: Data Scientist. Job Types: Part-Time.
Job expires in 15 days.
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