Lead Data Scientist

Reposted 11 Hours Ago
Be an Early Applicant
3 Locations
Remote
Mid level
Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
The Role
As a Lead Data Scientist, you will design statistical models, develop spatial algorithms, implement property recommendations, and debug models in production.
Summary Generated by Built In

Hello, let’s meet!

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

Beyond Projects

What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart? 

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.


You will be:
  • designing and developing statistical models for property price adjustments across time, location, quality, and condition,
  • building spatial algorithms (adaptive heatmaps, geographic clustering, polygon-based property search) to capture local market dynamics, 
  • implementing comparable property recommendation with feature engineering across different property types, 
  • developing market analysis pipelines with solid diagnostics: trend fitting, outlier detection, goodness-of-fit metrics, 
  • integrating LLM-based classification services for document and property analysis, 
  • exposing model outputs through production API endpoints and working with frontend engineers on data contracts, 
  • debugging models in production: edge cases, numerical issues, data quality problems.
Your profile:
  • solid statistics background: regression, GAMs, mixed/random effects, link functions, robust estimation, outlier handling,
  • proficiency in Python and the data science stack: NumPy, Pandas, statsmodels, SciPy, scikit-learn, 
  • experience building and maintaining production APIs with FastAPI and Pydantic, 
  • comfortable working with PostgreSQL and SQLAlchemy, 
  • familiar with containerized environments (Docker, Kubernetes, GCP), 
  • able to turn domain requirements into quantitative solutions and communicate trade-offs, 
  • good command of English (spoken and written), 
  • familiarity with basic statistical concepts (e.g., Bayes’ rule, linear regression, maximum likelihood estimation,
  • practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

Work from the European Union region and a work permit are required.

Nice to have:
  • geospatial data and libraries (GeoPandas, Shapely, H3, GeoAlchemy2),
  • GAM libraries (PyGAM), JAX, or TensorFlow Probability, 
  • task queues and async workflows (Celery, Redis), 
  • observability tooling (OpenTelemetry), 
  • ML pipeline frameworks (Kedro), 
  • data validation and property-based testing (Pandera, Hypothesis, TestContainers), 
  • R integration (rpy2),
  • LLM integrations (Google Gemini or similar),
  • frontend awareness (React, TypeScript),
  • real estate data, valuation methodology, or appraisal workflows.
Recruitment Process:

CV review – HR call – InterviewClient Interview – Decision


Skills Required

  • Solid statistics background including regression and outlier handling
  • Proficiency in Python and data science stack
  • Experience building and maintaining production APIs
  • Comfortable with PostgreSQL
  • Familiar with containerized environments
  • Good command of English

Xebia Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.

  • Healthcare Strength U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
  • Leave & Time Off Breadth Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
  • Retirement Support A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.

Xebia Insights

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The Company
HQ: Atlanta, GA
3,254 Employees
Year Founded: 2001

What We Do

We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]

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