Manager Data Scientist
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Job Location:
Monthly Salary:
Posted on:
27 days ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a highly skilled 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
About Company
Blend360 is an award-winning provider of data, analytics, and talent solutions for Fortune 500 companies. The company has made the Inc. 5000 list of Fastest Growing Companies every year they have been in business and has been awarded a world-class ranking in client satisfaction for th ... View more
