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Data ScientistApplied Scientist - Microsoft
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Data ScientistApplied Scientist - Microsoft

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القاهرة - مصر

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الوصف الوظيفي

رقم الوظيفة : 2426420
Microsoft Start serves personalized engaging and diverse news and interests content to millions of customers on Windows and Edge surfaces. We want to build the worlds best content ecosystem by acquiring content from a variety of content sources. We are constantly looking to understand our content partners their content and user engagement trends to make the right investments in growing our content corpus in a relevant direction.

Responsibilities

As a Data Scientist/Applied Scientist focusing on recommendation systems you will play a pivotal role in enhancing and optimizing our recommendation algorithms within our content ecosystem. Your primary responsibilities will include:

1. Algorithm Development and Enhancement:
  • Collaborate with crossfunctional teams to design develop and implement recommendation algorithms to drive content consumption for publishing partners.
  • Optimize existing recommendation algorithms by analyzing performance metrics and user feedback incorporating advanced machine learning techniques including generative AI techniques.

2. Data Analysis and Modeling:
  • Analyze large datasets to identify patterns trends and content performance to improve the relevance and quality of our recommendation systems.
  • Build predictive models using machine learning algorithms and statistical techniques to optimize content recommendations for various user segments.

3. Experimentation and A/B Testing:
Design and conduct A/B tests to evaluate the performance of recommendation algorithms and propose iterative improvements based on the results. Utilize experimentation results to iterate and finetune models ensuring continuous improvement and impact on key business metrics.

4. Collaboration and Communication:
Work closely with product managers engineers and other stakeholders to understand business requirements and translate them into actionable data science initiatives. Communicate findings insights and recommendations to both technical and nontechnical stakeholders effectively enabling informed decisionmaking.

Qualifications

  • Bachelors or Masters degree in Computer Science Statistics Data Science or a related field.

  • 23 years of relevant work experience in data science machine learning or applied science with a focus on recommendation systems.

  • Strong programming skills in Python and experience with other programming languages like C# C is a plus.

  • Solid understanding of machine learning algorithms generative AI technologies statistics and data modeling techniques.

  • Experience with recommendation systems collaborative filtering and personalization algorithms is a plus.

  • Proficiency in data manipulation cleaning and analysis using SQL and/or other data processing tools.

  • Familiarity with A/B testing methodologies and experiment design.

  • Excellent problemsolving skills and ability to work in a fastpaced collaborative environment.

  • Strong communication and teamwork skills with the ability to effectively present and explain technical concepts to diverse audiences.

Join our team and contribute to shaping the future of recommendation systems within our content ecosystem driving sustainable growth for our publishing partners. We look forward to having you on board to make a meaningful impact and grow your career in the dynamic field of data science.

Microsoft is an equal opportunity employer. Consistent with applicable law all qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

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