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Lead Manager Data Scientist

Lead Manager Data Scientist

Blend360Hyderabad, Telangana, India
30+ days ago
Job description

We are seeking a highly skilled Lead / Manager Data Scientist with experience in pricing optimization pricing elasticity and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning with a particular focus on Bayesian modeling. As part of our Data Science team you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques including AWS SageMaker to optimize business outcomes.

Key Responsibilities :

  • Lead and contribute to the development of pricing optimization models leveraging statistical and machine learning techniques to inform strategic decisions.
  • Analyze pricing elasticity to predict consumer response to changes in price helping clients maximize revenue and market share.
  • Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
  • Utilize Bayesian modeling to support decision-making processes providing insights into uncertainty and model predictions.
  • Collaborate with cross-functional teams to integrate data-driven insights into business processes.
  • Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
  • Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.

Qualifications :

Experience : 7 to 12 Years

  • Bachelors or Masters degree in Data Science Statistics Mathematics Economics or a related field. Advanced degrees preferred.
  • 7 years of hands-on experience in data science with a focus on pricing optimization and elasticity modeling.
  • Expertise in Bayesian modeling and machine learning techniques.
  • Proven experience working with AWS SageMaker for model development deployment and monitoring.
  • Familiarity with AWS Certified Data Analytics Specialty certification is a plus.
  • Strong programming skills in Python (preferred) or R.
  • Experience with cloud platforms (AWS preferred) including SageMaker.
  • Proficiency in statistical analysis tools and libraries (e.g. NumPy Pandas PyMC3 or similar)
  • Excellent problem-solving and analytical thinking skills.
  • Ability to work in a fast-paced environment and manage multiple projects.
  • Strong communication skills with the ability to explain complex concepts to non-technical audiences.
  • Preferred Qualifications :

  • Experience with A / B testing econometrics or other statistical experimentation methods.
  • Familiarity with other cloud computing platforms (e.g. Azure GCP).
  • Experience working in cross-functional teams and client-facing roles.
  • Additional Information :

  • Opportunity to work with cutting-edge technology in a dynamic environment.
  • Exposure to a diverse range of industries and projects.
  • Collaborative and inclusive work culture with opportunities for growth and professional development.
  • Remote Work : No

    Employment Type : Full-time

    Key Skills

    Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

    Experience : years

    Vacancy : 1

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