Applied Scientist

Cairo, Cairo, Egypt

Microsoft

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How would you like to bring your data science skills to drive critical marketing decisions and join one of the largest market research teams in the world? We are seeking a Data Scientist with a passion for insight building and exploring new data and processes to join our team. At Microsoft we have access to vast data sets. Our goal is to connect perceptions, behavioral, and financial data to uncover unique insights that help drive decisions.


Our people are research professionals with a strong consultative approach who thrive on tackling significant business opportunities and influencing decision makers at all levels. We are intellectually curious, analytical, impact driven, persistent, and not shy about sharing their opinions and recommendations. We are passionate about developing ourselves, our careers, and our profession. And above all, we aspire and strive to have an open, inclusive, and transparent culture.

We are looking for an Applied Scientist that specializes and has a passion for developing ML technologies in areas of computer vision. You will be part of this high-energy team and will contribute to and work alongside many talented colleagues on exciting ML problems and manage and mentor data and applied scientists. Experience having used machine learning or deep learning as a main skill on your job is required in this role, as the intuition associated with such experiences can help make our systems naturally easy to use for data scientists.

Feed & Verticals specializes in building personalized and engaging content around news, shopping, sports, weather, and finance that can scale to 1B+ Microsoft users on desktop and mobile.

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • Participate in design, implementation, and execution across a variety of features regarding data science and machine learning.
  • Drive innovations in analytics applications, ranking and recommendation algorithms.

Qualifications

Required Qualifications:

  • Prior experience or knowledge building machine learning models and integrating into data pipeline;
  • Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
    • OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field

Preferred Qualifications:

  • Knowledge of Data Structures/Algorithms.
    Passionate and have experience in data analytics, applied machine learning, deep learning and/or related fields.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

#MicrosoftAI

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  25  7  0
Category: Data Science Jobs

Tags: Computer Science Computer Vision Data Analytics Deep Learning Engineering Finance Machine Learning Market research ML models Research Statistics

Perks/benefits: Career development Medical leave

Region: Middle East
Country: Egypt