At CureSkin we are dedicated to revolutionizing skincare by leveraging advanced
technology and datadriven solutions. Our mission is to provide personalized and
effective skincare recommendations to our users ensuring they achieve healthier and
happier skin. We combine the power of artificial intelligence machine learning and data
science to deliver tailored skincare solutions that cater to individual needs.
We are seeking a highly motivated and skilled Data Scientist to join our dynamic team.
As a Data Scientist at CureSkin you will play a crucial role in analyzing large datasets
developing machine learning models and generating insights that drive the
enhancement of our skincare recommendation system. You will collaborate with
crossfunctional teams to innovate and improve our products ensuring that our users
receive the most effective and personalized skincare guidance.
Responsibilities:
Data Analysis and Exploration:
Collect clean and preprocess large volumes of structured and
unstructured data related to skincare user behavior and product usage.
Conduct exploratory data analysis to identify patterns trends and insights
that can improve our understanding of user needs.
Model Development and Deployment:
Develop predictive models recommendation systems and algorithms
using machine learning techniques to personalize skincare
recommendations.
Implement and deploy machine learning models into production ensuring
scalability and efficiency.
Optimization and Improvement:
Continuously improve existing models by experimenting with new
algorithms methodologies and data sources.
Collaborate with crossfunctional teams to optimize model performance
and enhance the user experience.
Insights and Reporting:
Generate actionable insights and reports based on data analysis to guide
product development and business strategies.
Communicate findings effectively to both technical and nontechnical
stakeholders through presentations and reports.
Research and Innovation:
Stay updated with the latest advancements in data science machine
learning and skincare technology to propose innovative solutions.
Contribute to research initiatives and publish findings in relevant
conferences or journals.
r,python,tensorflow,scikit-learn,pytorch