Data Scientist Search Squad

As a Data Scientist in our Search Squad you will play a pivotal role in shaping the future of our customer-facing search experience. You will be the go-to expert for machine learning within the team taking ownership of our search algorithms and driving their evolution. This is a unique opportunity to have a significant impact on a high-traffic business-critical product.

Responsibilities :

Take ownership of the existing Learning to Rank ML algorithm from understanding its current implementation to identifying areas for improvement.

Design develop and deploy a new state-of-the-art search algorithm to replace the current one with a focus on fine-tuning and performance optimization.

Tailor the search algorithm to our diverse customer categories with a special focus on FSD customers to provide a more personalized and relevant search experience.

Collaborate closely with the backend and frontend engineering teams to integrate and deploy your ML models in our production environment using Kubernetes and ArgoCD.

Work with our existing search infrastructure which includes Solr and Elasticsearch for pre-filtering to ensure seamless integration of your machine learning solutions.

Act as the subject matter expert for data science within the Search Squad providing guidance and sharing your knowledge with a team of talented engineers.

Qualifications :

Minimum of 5 years of experience as a Senior Data Scientist or a similar role with a proven track record of delivering impactful ML solutions.

Experience in a technical leadership role with the ability to steer projects and mentor other team members.

Expertise in machine learning with a strong background in search ranking and recommendation systems.

Hands-on experience with the end-to-end machine learning lifecycle from data exploration and model development to deployment and monitoring.

Proficiency in Python and its data science libraries (e.g. scikit-learn TensorFlow PyTorch Polars).

Solid experience with SQL and Bigquery - working with large-scale datasets.

Experience with cloud platforms preferably Google Cloud Platform (GCP).

Experience with MLOps tools and platforms; specific experience with Kubernetes and ArgoCD for model deployment is highly desirable.

Familiarity with search technologies such as Solr or Elasticsearch.

Excellent communication and interpersonal skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

A proactive and independent mindset with the ability to drive projects forward in an autonomous data science role.

Familiarity with the wholesale / retail domain is a plus.

Fluency in English (both written and verbal).

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