Data Science Leader

6 days ago


Mumbai, Maharashtra, India beBeeDataScience Full time ₹ 15,00,000 - ₹ 20,00,000
Job Title: Data Science Leadership Position

We are looking for a seasoned data science professional to lead our global team. This is an exceptional opportunity for a strategic thinker who can leverage machine learning algorithms and data analytics to drive business growth.



Job Description

The ideal candidate will have a deep understanding of machine learning techniques, including regression models, decision trees, and random forests. They will be able to design and implement scalable solutions using cloud platforms such as Google Cloud or Snowflake. Experience with MLOPS tools like Docker, Airflow, and Kubernetes is also essential.



Required Skills and Qualifications

To succeed in this role, you must have:

  • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree or MBA is preferred.
  • At least 8 years of experience in data science and analytics, with a focus on machine learning.
  • Experience in leading a data science team and managing large-scale projects.
  • Expert knowledge in marketing mix modeling, revenue growth management, optimization techniques, forecasting, and recommendation engines.
  • Strong coding skills in Python, SQL, PySpark, and R. Familiarity with deep learning and reinforcement learning is a plus.


Benefits

This position offers a competitive salary and benefits package, as well as opportunities for professional growth and development. You will work with a talented team of data scientists and engineers to drive innovation and deliver results.



What We Offer

We value collaboration, creativity, and continuous learning. Our team works closely with cross-functional teams to drive business outcomes and improve customer experiences. We offer flexible work arrangements, training and development programs, and a supportive environment that fosters growth and success.



Preferred Qualifications

If you have experience with web applications, deep learning, or AI algorithms, we encourage you to apply. Familiarity with cloud services such as Azure or AWS is also a plus.


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