Data Scientist

2 weeks ago

Chandigarh, India Americana Restaurants Full time

About the Company

Americana Restaurants International PLC is a pioneering force in the MENA region and Kazakhstan's Out of out-of-home dining industry and ranks among the world's leading operators of Quick Service Restaurants (QSR) and casual dining establishments. Our expansive network of 2,500 restaurants spans 12 markets throughout the Middle East, North Africa, and Kazakhstan, from Kazakhstan in the east to Morocco in the west. Leveraging unparalleled local knowledge and capabilities, we are key players in our core markets with significant potential for further growth. franchisee for some of the world’s most prominent brands in fast food and casual dining; including KFC, Pizza Hut, Hardee’s, Krispy Kreme, Wimpy, Costa Coffee, and TGI Friday’s; to name a few. Our dedicated team of over 40,000 talented employees strives to create memorable moments through exceptional food, superior service, and outstanding experiences.

About the Role

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will be responsible for designing, developing, and implementing machine learning and artificial intelligence solutions to address complex business challenges. The candidate should have a strong background in mathematics, statistics, and programming, with experience in various machine-learning techniques and frameworks. This role offers an exciting opportunity to work on cutting-edge projects and contribute to the advancement of AI technologies.

Responsibilities

  • Collaborate with cross-functional teams to understand business requirements and identify opportunities for Data Science & Data Engineering
  • Design and develop machine learning models and algorithms to solve specific problems, such as classification, regression, clustering, and recommendation systems.
  • Implement data preprocessing, feature engineering, and model evaluation techniques to ensure the robustness and accuracy of machine learning models.
  • Conduct experiments and analyze data to gain insights and improve model performance.
  • Stay up-to-date with the latest research and advancements in the field of artificial intelligence and machine learning.
  • Collaborate with stakeholders to communicate findings and present solutions clearly and understandably.
  • Participate in code reviews, documentation, and knowledge-sharing activities to maintain high coding standards and promote best practices.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Proven experience in developing machine learning models and algorithms, preferably in a professional or academic setting.

Required Skills

  • Proficiency in Following such as Data Engineering, Data Modeling, Azure Data Factory, Databricks, Statistical Modeling and Machine Learning.
  • Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Solid understanding of mathematical concepts and statistical methods used in machine learning.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus.
  • Demonstrated ability to learn new technologies and adapt to a fast-paced, dynamic environment.

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