Offer summary

Qualifications:

Minimum of 5 years of hands-on experience in data science and machine learning., Strong expertise in Microsoft Azure; experience with AWS is a plus., Deep understanding of data preprocessing, model evaluation, and performance monitoring., Ability to collaborate with cross-functional teams including T&I and DevOps..

Key responsabilities:

Read and process input data from Azure Blob Storage and write back processed data.

Perform data preprocessing and cleansing for high-quality modeling data.

Collaborate with T&I and DevOps teams to streamline deployment processes.

Monitor model performance post-deployment and lead the design of predictive models.

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

We are seeking an experienced Data Scientist with a minimum of 5 years of hands-on experience in data science, machine learning, and model deployment for our client in consulting. The ideal candidate should have strong expertise in Microsoft Azure, with additional experience in AWS being a plus. This role requires a deep understanding of data preprocessing, model evaluation, and performance monitoring, as well as the ability to collaborate with cross-functional teams including T&I and DevOps. If you are passionate about building scalable data solutions and driving business impact through data science, we want to hear from you!

Key Responsibilities:

Read and process input data from Azure Blob Storage, ensuring seamless data flow and writing back processed data to the blob.
Perform data preprocessing and cleansing to ensure high-quality data for modeling.
Conduct model and code reviews, making necessary changes in case of failures.
Collaborate closely with T&I (Technology & Innovation) and DevOps teams to streamline deployment processes.
Create and manage environment setups for machine learning models.
Develop and maintain data pipelines and pipeline assets for efficient data processing.
Monitor model performance post-deployment, identifying and addressing anomalies to maintain accuracy and efficiency.
Lead the design and implementation of predictive models that drive business impact.
Provide technical leadership and mentorship to junior data scientists.
Work with stakeholders and cross-functional teams to translate business needs into data-driven solutions.