administrative employee

2 weeks ago

Yanbu, Al Madīnah al Munawwarah, Saudi Arabia مكتبة جرير Full time

At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge

Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house ;


Send you CV to (WhatsApp)

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Send you CV to
  • Data Collection and Analysis: You will need to gather, organize, and analyze large volumes of data from various sources, both internal and You will also need to identify and address data quality issues and ensure that the data is relevant and
  • Model Development and Implementation: You will need to develop mathematical and statistical models that help solve business problems and improve This includes developing predictive models, forecasting models, optimization models, and other statistical techniques to support
  • Data Visualization: You will need to create visualizations and dashboards that help communicate complex data insights to You will need to use tools like Tableau, Power BI, or Excel to create charts, graphs, and other visualizations that help tell the story of the
  • Collaboration with Stakeholders: You will need to work closely with stakeholders, such as business analysts, product managers, and executives, to understand business requirements and develop solutions that meet their You will need to communicate complex statistical concepts in a way that is easy for non-technical stakeholders to
  • Continuous Improvement: You will need to monitor continuously and evaluate the effectiveness of your models and data analyses, and refine them as needed to ensure that they are meeting business This includes identifying new data sources, incorporating new modeling techniques, and continuously refining existing


Requirements
  • Strong analytical skills: A data scientist must have excellent analytical skills to identify patterns, trends, and insights from complex data They should be able to develop models, test hypotheses, and derive insights from
  • Proficient in programming: A data scientist must be proficient in programming languages such as Python, R, and They must be able to write and understand complex algorithms and data
  • Data visualization: Data scientists should have excellent data visualization skills to convey insights and findings to non-technical They should be able to use tools like Tableau and Power BI to create compelling and easy-to-understand
  • Business acumen: A data scientist should have a good understanding of the business they are working They should be able to interpret data and identify trends that could impact business
  • Strong communication skills: A data scientist should be able to communicate technical concepts to non-technical stakeholders in a clear and concise They should also be able to explain their findings to their team
  • Machine learning: A data scientist should have experience with machine learning algorithms, including supervised and unsupervised They should be able to develop models that can predict outcomes based on
  • Big data technologies: A data scientist should have experience with big data technologies, including Hadoop, Spark, and NoSQL They should be able to handle and analyze large data sets
  • Creativity: A data scientist should be creative in developing new approaches to solve They should be able to think outside the box to develop new ideas and
  • Attention to detail: A data scientist should have a keen eye for detail, and they should be able to spot errors in the They should also be able to identify potential biases in the data and take corrective
  • Learning agility: A data scientist should have a passion for continuous learning and staying updated with the latest trends in the They should be able to adapt to new technologies and methodologies



Benefits

Extreme Learning and training

Continuous growth every 3 months financially & in

Compensation based on contribution



Problem-solving aptitude Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

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