Lead Data Science Innovator

24 hours ago

davangere, India beBeeData Full time

Senior Data ScientistDevelop advanced machine learning models to enhance dining experiences and drive business growth. As a key member of our Data Sciences Team, you will design and deploy personalized solutions that meet the unique needs of our customers.This is a highly visible and impactful role, requiring expertise in data science, machine learning, and software engineering. You will work closely with internal teams to conceptualize, plan, and execute projects that drive revenue growth and customer satisfaction.The ideal candidate has a strong background in statistics, mathematics, or a related field, with 6-9 years of experience in relevant working environments. Proficiency in RDBMS such as PostgreSQL or MySQL is essential, along with expertise in Python, especially data science and data wrangling libraries like NumPy, pandas, etc.Strong analytical, data interpretation, and problem-solving skills are crucial for this role, as well as a good grasp of basic statistical concepts and ML algorithms. Familiarity with Big Data technologies such as Spark, MPP databases is also beneficial.Design and develop ML-driven personalization solutions for dining experiences, ordering journeys, and customer targeting.Research, design, and deploy scalable machine learning models using large-scale structured and unstructured data.Partner with internal engineering and product teams to conceptualize, plan, and execute the roadmap.Communicate complex results in a clear, concise, and actionable manner.Mentor junior data scientists and contribute to setting best practices for the team.Evaluate and prototype emerging AI technologies applicable to the restaurant industry.Required Skills and Qualifications:Master's degree in Statistics, Mathematics, Engineering, Physics, or a related field.6-9 years of relevant working experience.Proficient in RDBMS such as PostgreSQL or MySQL.Expertise in Python, especially data science and data wrangling libraries like NumPy, pandas, etc.Strong analytical, data interpretation, and problem-solving skills.Good grasp of basic statistical concepts and ML algorithms.Familiarity with Big Data technologies such as Spark, MPP databases.Benefits:Opportunity to work on cutting-edge technology projects.Collaborative and dynamic work environment.Professional development and growth opportunities.Others:Experience in personalization and customer propensity modeling.Testing and deployment of APIs for large-scale production systems.Experience in building ML models at scale, using big data pipelines on platforms like Spark.Understanding of deep learning frameworks such as TensorFlow/PyTorch.Experience with GCP/BigQuery.

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