Offer summary

Qualifications:

Strong background in data processing and model evaluation., Experience in data preprocessing and cleansing for data integrity., Ability to collaborate effectively with cross-functional teams., Familiarity with model deployment and performance monitoring..

Key responsabilities:

Read and process input data from blob storage and write output back.

Conduct model and code reviews, implementing necessary changes.

Collaborate with T&I and DevOps teams for model deployment.

Monitor model performance post-deployment and optimize as needed.

PARALUCENT is a global technology and marketing agency that lives at the intersection of technology and creativity, helping organizations grow in an age of digital and brand transformation. Our customer-centric processes are aimed at delivering smarter work that changes behaviours and unlocks growth. WE ARE Strategists, architects, designers, project managers, developers, and QA with rich technology experience and mastery of leading methodologies. WE CREATE Highly effective solutions that live up to our promises and exceed expectations. We deliver technological and creative solutions with great attention to quality, cost and functionality. We also create campaigns, commercials, branding, graphic design, video, and do copywriting, PR and communications, and more! WE BELIEVE Great things in the world come through committed partnerships that are built on trust and integrity and that have clear two-way communication. We believe in an inclusive environment that challenges traditional ways of working. We believe in curiosity, passion and collaboration so that everyone wins. WE ARE ALSO Marketers, designers, animators, writers, video producers, and media experts who bring depth of experience, curiosity and clarity to everything we do.

Job description

Our client, a leading consulting firm, is seeking an experienced Data Scientist to join their team. The ideal candidate will have a strong background in data processing, model evaluation, and deployment, with expertise in collaborating with cross-functional teams. This role will focus on ensuring high-quality data preprocessing, model performance monitoring, and efficient coordination with technical teams to support successful deployments.

Key Responsibilities:

Read input data from the blob storage, process it, and write the output back to the blob.
Perform data preprocessing and cleansing to ensure data integrity and accuracy.
Conduct model and code reviews, applying necessary changes if failures occur.
Collaborate with Technology & Infrastructure (T&I) and DevOps teams to streamline model deployment and ensure system reliability.
Assist in the creation of new environments for data science workflows.
Develop and maintain pipeline assets to support model deployment and monitoring.
Continuously monitor model performance post-deployment, identifying anomalies and optimizing models as needed.

Required profile