Data Analyst

3 days ago

Seeb, Muscat, Oman beBee Careers Full time

Job Description:

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We are seeking a highly motivated and skilled Junior Data Science Engineer to join our team and support the development of advanced data models and predictive analytics. As a member of our data science team, you will have the opportunity to work on diverse and challenging projects, collaborate with cross-functional teams, and develop your skills and expertise in data science and analytics.

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Key Responsibilities:

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  2. Develop and maintain advanced data models and predictive analytics to solve business problems and drive decision-making.">
  3. Build, maintain, and optimize scalable and efficient data pipelines to facilitate seamless data integration and processing across the organization.">
  4. Conduct comprehensive exploratory data analysis to uncover insights, trends, and patterns, and present findings in a clear and actionable manner.">
  5. Support the implementation and optimization of machine learning algorithms, ensuring they meet performance, accuracy, and scalability requirements.">
  6. Collaborate with cross-functional teams to understand requirements and deliver tailored data-driven solutions.">
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Requirements:

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  • Bachelor's degree in Computer Science or a related field.">
  • 1-2 years of experience in data analysis or data engineering.">
  • Familiarity with programming languages like Python, R, or SQL.">
  • Solid understanding of statistical and machine learning concepts.">
  • Strong problem-solving and analytical skills.">
  • Excellent communication and technical documentation abilities.">
  • Strong leadership and mentoring abilities.">
  • Ability to work collaboratively and learn quickly.">
  • Well-developed interpersonal skills and excellent communications skills in English.">
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About Us:

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We are a dynamic and collaborative team that is passionate about using data science and analytics to drive business success. We offer ongoing training and professional development opportunities, a competitive salary and benefits package, and the chance to work on diverse and challenging projects.