Transformative Data Scientist Role
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This opportunity allows you to drive innovation and growth through data-driven solutions.
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Our team is looking for a highly skilled Senior Data Scientist who can leverage expertise in machine learning, big data, and statistical analysis to create personalized dining experiences for restaurant diners.
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Key Responsibilities :
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- Design and develop ML-driven personalization solutions that enhance customer targeting and retention.
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Develop scalable machine learning models using large-scale structured and unstructured data.">
Collaborate with internal engineering and product teams to conceptualize and execute the project roadmap.">
Communicate complex results effectively and concisely.">
Mentor junior data scientists and contribute to setting best practices for the team.">
Stay up-to-date on emerging AI technologies and evaluate their applicability to the restaurant industry.">
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Requirements : ">
Required Skills and Qualifications :
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To succeed in this role, you should possess :
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Advanced degree in Statistics, Mathematics, Engineering, Physics, or a related field.">
6-9 years of relevant working experience.">
Proficiency in RDBMS such as PostgreSQL or MySQL.">
Expertise in Python, particularly in data science and data wrangling libraries like NumPy and Pandas.">
Strong analytical, data interpretation, and problem-solving skills.">
Familiarity with Big Data technologies like Spark and MPP Databases.">
Self-motivation, independence, and willingness to share knowledge with team members.">
Attention to detail and efficient time management in a dynamic environment.">
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Desirable Skills : ">
Bonus Requirements : ">
To take your skills to the next level, consider having :
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Experience in personalization and customer propensity modeling.">
Knowledge of testing and deployment of APIs for large-scale production systems.">
Understanding of deep learning frameworks like TensorFlow or PyTorch.">
Experience with GCP / BigQuery.">
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Why Join Us?
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We value diversity, equity, and inclusion in our hiring process. We welcome applicants from diverse backgrounds and foster an inclusive work environment where everyone feels valued and respected.
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