We are looking for a Senior Data Scientist to join one of our USA clients Consumer Science teams. Our client is building technology-driven solutions to transform the way people purchase their everyday goods providing a seamless on-demand experience that meets customers immediate needs at the click of a button.
As a Senior Data Scientist you will work on high-impact initiatives across Search Browse and Recommendation systems owning projects from prototype to production. You will help refine and scale retrieval ranking and query understanding systems to enhance user discovery and drive measurable business impact.
If you are passionate about solving impactful problems using data science in a fast-paced product-driven environment this opportunity is for you.
Qualifications :
Expectations - the experience you need
- Hands-on experience building ranking and recommendation models in production environments.
- MS or PhD in Statistics Mathematics Computer Science or another quantitative field.
- Strong foundation in statistical modeling machine learning techniques and ML workflows.
- Proficiency in Python and related ML libraries/frameworks (e.g. PyTorch Scikit-learn boosting models etc.).
- Strong SQL skills and experience working with large-scale datasets.
- Experience with cloud platforms (AWS GCP or Azure).
- Familiarity with model development and deployment tools (e.g. Databricks or similar).
- Experience building models that support real-time or near real-time decision-making.
- Excellent communication and presentation skills with the ability to explain complex topics to both technical and business stakeholders.
- Experience in eCommerce marketplace logistics or similar high-transaction environments (nice to have).
Responsibilities - What youll do
- Build and improve machine learning statistical and causal models for search ranking and recommendations aligned with business objectives.
- Partner closely with Product and Engineering teams to design develop and deploy scalable data science solutions.
- Take ownership of projects from experimentation through productionalization.
- Identify gaps in existing data define data product specifications and collaborate with Engineering to enhance tracking and instrumentation.
- Develop models supporting real-time events and cross-functional decision-making across Marketing Merchandising Operations and Supply Chain.
- Present insights and model performance to business and engineering leadership.
- Promote automation and production-ready solutions whenever possible.
- Mentor and support junior data scientists.
- Partner with Analytics and other teams to ensure consistent data-driven practices across the organization.
Our offer professional development personal growth
- Educational resources
- Flexible schedule and work from anywhere
- Referral Program
- Supportive and chill atmosphere
We are accepting applications from LATAM countries
#LI-DNI
Additional Information :
Remote Work :
Yes
Employment Type :
Full-time
We are looking for a Senior Data Scientist to join one of our USA clients Consumer Science teams. Our client is building technology-driven solutions to transform the way people purchase their everyday goods providing a seamless on-demand experience that meets customers immediate needs at the click o...
We are looking for a Senior Data Scientist to join one of our USA clients Consumer Science teams. Our client is building technology-driven solutions to transform the way people purchase their everyday goods providing a seamless on-demand experience that meets customers immediate needs at the click of a button.
As a Senior Data Scientist you will work on high-impact initiatives across Search Browse and Recommendation systems owning projects from prototype to production. You will help refine and scale retrieval ranking and query understanding systems to enhance user discovery and drive measurable business impact.
If you are passionate about solving impactful problems using data science in a fast-paced product-driven environment this opportunity is for you.
Qualifications :
Expectations - the experience you need
- Hands-on experience building ranking and recommendation models in production environments.
- MS or PhD in Statistics Mathematics Computer Science or another quantitative field.
- Strong foundation in statistical modeling machine learning techniques and ML workflows.
- Proficiency in Python and related ML libraries/frameworks (e.g. PyTorch Scikit-learn boosting models etc.).
- Strong SQL skills and experience working with large-scale datasets.
- Experience with cloud platforms (AWS GCP or Azure).
- Familiarity with model development and deployment tools (e.g. Databricks or similar).
- Experience building models that support real-time or near real-time decision-making.
- Excellent communication and presentation skills with the ability to explain complex topics to both technical and business stakeholders.
- Experience in eCommerce marketplace logistics or similar high-transaction environments (nice to have).
Responsibilities - What youll do
- Build and improve machine learning statistical and causal models for search ranking and recommendations aligned with business objectives.
- Partner closely with Product and Engineering teams to design develop and deploy scalable data science solutions.
- Take ownership of projects from experimentation through productionalization.
- Identify gaps in existing data define data product specifications and collaborate with Engineering to enhance tracking and instrumentation.
- Develop models supporting real-time events and cross-functional decision-making across Marketing Merchandising Operations and Supply Chain.
- Present insights and model performance to business and engineering leadership.
- Promote automation and production-ready solutions whenever possible.
- Mentor and support junior data scientists.
- Partner with Analytics and other teams to ensure consistent data-driven practices across the organization.
Our offer professional development personal growth
- Educational resources
- Flexible schedule and work from anywhere
- Referral Program
- Supportive and chill atmosphere
We are accepting applications from LATAM countries
#LI-DNI
Additional Information :
Remote Work :
Yes
Employment Type :
Full-time
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