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Senior Data Scientist

Role overview

Qualifications

  • Expertise in Python and SQL (BigQuery)
  • Experience with machine learning frameworks such as PyTorch and TensorFlow
  • Familiarity with Docker and GCP
  • Knowledge of deep learning and low-latency model development

Responsibilities

  • Drive the design, refinement, and evaluation of ML scoring models for advertising and ranking domains
  • Architect model strategies integrating user, product, and placement signals
  • Partner with engineering and business stakeholders to translate strategic goals into measurable outcomes
  • Provide technical leadership and quality assurance for Data Science workstreams

About the company

The Codest logo

The Codest

IT Services & IT Consulting

The Codest - International Tech Software Company with tech hubs in Poland. Our core values "Customers and People First" prioritises the needs of our customers and collaborative environment for our employees, enabling us to deliver exceptional products and services. Our unique history is based on successful product development and scaling it as an independent company. Our mission became clear after many years of software development, as we want to specialise in scaling tech teams for clients and partners thanks to a quality-first approach in development. Our expertise lies in web development, cloud engineering & DevOps and quality assurance (QA). We became SaaS& E-commerce experts and onboarded vertical portfolio companies from various industries such as FinTech and AdTech. Our offer to cooperate consists of two models: team extension to build technical teams and project development. See what our partners say about our cooperation on our Clutch profile (https://clutch.co/profile/codest).

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size51 - 200

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Job description

🌍 Hello World!

We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in β€œCustomers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services.

Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams.

But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step.


Project description:

Our client is one of the largest e-commerce platforms in Europe, used by millions of users every day. The company connects sellers - from small businesses to global brands - with customers, offering a vast product selection, fast delivery, and a well-crafted shopping experience.

The role:

  • Senior Data Scientist specializing in ML Models for Advertising and Ranking Domains.

  • Drive the design, refinement, and evaluation of ML scoring models (e.g., CTR, CVR, and RoAS), integral to core bidding logic.

  • Architect model strategies for complex solutions integrating user, product, and placement signals, ensuring readiness for high-throughput and low-latency environments.

  • Partner with engineering and business stakeholders to translate strategic goals into measurable modeling outcomes and technical roadmaps.

  • Provide technical leadership and quality assurance for Data Science workstreams within the project scope to ensure alignment with production standards.

Specific skills and tools

Python, PyTorch, TensorFlow, SQL (BigQuery), Docker, GCP, Vertex AI, Vertex Pipelines, Deep Learning, Experiment Design, and Low-Latency Model Development.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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