14 Remote Data Scientist Jobs in Poland

Data Scientist, Seller Merchant at Whatnot

Largest livestream shopping platform in US/UK/Europe, connecting community and commerce.

Own product data science for seller inventory and merchant workflows in live commerce; must live within commuting distance of New York or San Francisco, US citizen/visa only; 5+ years, experimentation, causal inference, statistics, SQL, Python; bonus: e-commerce/marketplace domain; equity

Remote US, UK, Ireland, Poland, Germany, or Australia only; must live within commuting distance of New York or San Francisco

Senior Data Scientist (m/f/d) at Sport Alliance GmbH

Leading digital fitness ecosystem for gyms with ERP, fintech, apps.

Own end-to-end ML solutions for fitness SaaS products used by thousands of businesses and millions of members; English C1+; 5+ years, production ML, statistics, Python, scikit-learn, SQL; bonus: AWS, Terraform, dbt, LLMs/GenAI, German

Remote Poland only

Data Scientist, Ad Network (global) at beehiiv

Operating system powering the content economy.

Own ad network data stack and insights for newsletter ad marketplace; ideally EST hours; 3+ years, SQL, BI tools, R or Python, statistical analysis, experimentation, data modeling, SQL ETL; bonus: ad tech, ClickHouse, entity resolution, graph databases; hypergrowth, equity

Remote anywhere; ideally working EST hours

Data Scientist at Otamiser

Booster® and AutoRank boost hotel/airbnb rankings, increasing revenue.

Analyze hospitality OTA listing/performance data and build dashboards, contributing to ranking/visibility models; 0–2 years; SQL, Python, Pandas, NumPy, scikit-learn, statistics, dashboarding; bonus: BigQuery, Looker, ML exposure, product-team experience; startup nearing international growth

Remote Europe only

Staff Data Scientist, Pricing at Airalo

Pain-free global connectivity with affordable eSIMs for travelers.

Candidates must have 7+ years of experience in data science, quantitative economics, or applied research with a focus on pricing or marketplace dynamics. An advanced degree in Econometrics, Statistics, Operations Research, or a related field is required, along with strong proficiency in Python and SQL.

Remote across supported European locations only: United Kingdom, Spain, Germany, France, Austria, Denmark, Sweden, Finland, Norway, Portugal, Italy, Greece, Malta, Czechia, Hungary, Poland, Lithuania, Estonia, Romania, Serbia, Bulgaria.

Senior/Staff Data Scientist, Analytics at Bluefish AI

The Leading AI Marketing Platform for the Fortune 500

Requires strong proficiency in SQL, Python, and deep statistical knowledge including hypothesis testing and causal inference. Experience designing experimentation frameworks at scale and the ability to translate complex findings into actionable business narratives is essential.

Flexible hybrid/remote in Germany; linked to Berlin office. Germany-based remote allowed; no other regions mentioned.

Data Scientist (m/f/d) at Kayzen

Mobile DSP democratizing programmatic advertising for growth across brands globally.

Requires at least 3 years of experience in data science product development and proficiency in Python, Spark, and SQL. Previous experience in the Ad-Tech industry is mandatory.

Remote in Europe. Flexible work-from-home; opportunity to relocate to Berlin office.

Data Scientist - Staff or Senior (Australia) at KoBold Metals

KoBold discovers critical materials for EVs and renewables with AI/HI.

Candidates need extensive technical skills in Python, software engineering practices, cloud computing, and building/evaluating predictive models, alongside knowledge of applied statistics and machine learning algorithms. A minimum of 4 years post-PhD or 8 years post-MS experience is required, ideally leading technical teams applying novel scientific approaches.

Remote-first; must be legally authorized for US, Canada, Australia, South Africa, UK, Zambia, DRC, Namibia, Finland, Sweden, or Botswana.

Data Scientist - Staff or Senior (United Kingdom) at KoBold Metals

KoBold discovers critical materials for EVs and renewables with AI/HI.

Candidates must possess extensive technical skills in Python data science packages, software engineering practices like Git and CICD, and cloud computing resources, alongside strong knowledge of applied statistics and machine learning algorithms. Required experience includes an advanced degree in a quantitative field and a minimum of 4 years post-PhD or 8 years post-MS experience, ideally leading technical teams applying novel scientific approaches.

Remote-first; must be legally authorized in listed countries (US/UK/CA/Australia/South Africa/Zambia/DRC/Namibia/Finland/Sweden/Botswana).

Data Scientist - Extensions at Fundamental

Fundamental's NEXUS turns bets into guaranteed, accurate business forecasts.

Requires 5+ years of experience in data science or machine learning with strong proficiency in Python and gradient boosting frameworks. Candidates must have a deep understanding of real-world tabular data challenges and a rigorous experimental mindset.

Remote US, Europe, and Israel.

Graduate data scientist at Bending Spoons

Acquires and improves digital businesses; integrates AI into operations.

Opportunity to integrate AI into daily work, build internal data products, and accelerate growth with small, autonomous teams, plus flexible hours and strong benefits.

Fully remote from eligible countries; also Milan, London, Madrid, Warsaw options. Initial months mostly in Milan office.

Data Scientist at Bending Spoons

AI-focused company operating digital businesses long term

Autonomous, small teams deeply integrating AI; strong growth potential with learning support, top health insurance, relocation, parental support, and equity at discounted price.

Fully remote from eligible countries (Milan/London/Madrid/Warsaw listed); some initial on-site time in Milan expected.

Data Scientist at Junction

Collaborate with health centers to expand access via infusion centers.

Junction is a YC-backed health-tech startup at an exciting growth stage building diagnostic health data infrastructure. The role offers meaningful ownership of high-leverage data science work across diagnostics and AI-enabled features, with opportunities to shape methodology, research roadmap, and product impact. You’ll join a mission-driven culture with generous early-stage equity options and a strong benefits package (monthly learning budget, home-office stipend, coworking budget, 25 days off, healthcare). The company emphasizes hands-on, strategic work in a startup environment and hosts regular in-person offsites. US citizen/visa only; visa sponsorship not provided.

Remote US/EU time zones (EST/GMT); fully remote.

A bachelor's degree in a quantitatively rigorous discipline is preferred, along with 1-3 years of relevant experience in data science or consulting. Candidates should have a high level of comfort with

Candidates must have a Bachelor’s degree with 5+ years of experience, a Master’s degree with 3+ years of experience, or a PhD in a quantitative field. Proficiency in Python and experience with Generat

Candidates should have a Master's degree or higher in a quantitative field and at least 3 years of experience managing data scientists. A strong understanding of data science fundamentals and experien

Candidates should have a strong background in data science and experience in developing predictive models. A focus on customer experience and business outcomes is essential.

Candidates must have an active DoD Secret clearance and a Bachelor's degree in a relevant field. They should also have over 8 years of experience in data engineering and familiarity with cloud data te

An advanced degree in a related field and 7+ years of experience in data science or machine learning are required. Candidates should have a deep understanding of machine learning algorithms and experi

Candidates should have a Bachelor’s or Master’s degree in a quantitative field and 4 to 5+ years of related experience in data science. Advanced skills in Python, SQL, and ML model evaluation are esse

Candidates should have 7+ years of experience in Data Science/Analytics and strong proficiency in data manipulation and visualization tools. A bachelor's or advanced degree in a quantitative disciplin

Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and deep learning frameworks. Proficiency in Python and SQL, along with a strong u

Candidates should have strong experience in product analytics or a similar data-focused role, with expertise in translating complex data into actionable insights. A degree in a related analytical fiel

A Master's degree in a quantitative discipline with two years of experience, or a Bachelor's degree with five years of experience is required. Special skills in various programming languages and data

An advanced degree in a quantitative field is required along with 3+ years of experience building ML/NLP models. Proficiency in Python and hands-on experience with LLMs and frameworks like PyTorch or

Candidates must have 3+ years of hands-on experience in machine learning and a bachelor's degree or higher in a related field. They should possess excellent knowledge of advanced methods, experience w

Candidates should have a strong understanding of statistical concepts and experience in exploratory analysis. A proven track record of owning complex data projects and proficiency in SQL and Python is

Candidates must have a Bachelor's degree in Engineering or a related field, with 5+ years of experience or a Master's degree with 3 years of experience. U.S. citizenship is required due to the nature

A Bachelor's degree in a relevant field with 2+ years of experience or a Master's degree with 0-1 years of experience is required. Candidates should have experience with Python programming and a worki

10+ years of experience in data science and predictive analytics is required. Expertise in Python, R, SQL, and hands-on experience with Snowflake and Tableau is essential.

The ideal candidate should have 5+ years of full-time data experience, with a strong background in data engineering or analytics engineering. They must also possess expertise in modern data stack tech

Candidates should be currently enrolled in a relevant degree program and possess strong analytical skills along with foundational knowledge of Python and SQL. An interest in blockchain and experience

Candidates should have a PhD or Master's degree in a related field with relevant work experience. Experience with machine learning model deployment and programming in Python is essential.

Candidates must have a minimum of 7+ years of experience in a P&C/General/Health insurance pricing role and possess FCAS credentials. A strong understanding of data science and machine learning techni

Candidates should have a bachelor's degree in a related field and proven insurance business knowledge. Strong technical aptitude in programming languages such as Python, R, SAS, or SQL is required.

A minimum of 30 completed college-level credit hours in Data Science or a related field is required by the start date. Interns should have hands-on development experience and the ability to translate

Candidates should have 3+ years of experience in Data Science supporting marketing functions, preferably in a B2B SaaS environment. Proficiency in SQL, a scripting language, and data visualization too

A bachelor's degree in a related field and 5+ years of experience as a Clinical Data Scientist in Healthcare are required. Candidates should have advanced knowledge of statistics and machine learning,

Candidates must be currently pursuing a Bachelor's degree in a relevant field and have a basic understanding of Python and Power BI. Preferred qualifications include SQL fundamentals and an interest i

Candidates should have a Bachelor's degree with 8+ years of experience or a Master's/PhD with 4+ years in data science or machine learning. Experience in digital advertising and proficiency in Python

Candidates should have an advanced degree in a related field and 1-3 years of experience in advanced analytics, particularly with healthcare datasets. Strong skills in machine learning, SQL, and cloud

Candidates should have 7+ years of experience in data science or quantitative modeling, preferably in risk or fraud contexts. An advanced degree in a quantitative field and strong knowledge of program

Candidates should have a Bachelor's degree in a STEM field and at least 2 years of experience in Data Science or related fields. Proficiency in SQL and familiarity with data visualization tools are al

Candidates should have over 5 years of experience in data science or analytics, particularly in growth teams at product-led companies. Strong SQL and Python skills, along with a solid understanding of

A Bachelor's degree with 2-4 years of relevant experience or a Master's degree with less than 2 years is required. Proficiency in SAS, SQL, and data visualization tools is essential.

Candidates must have 4+ years of professional experience in Data Science and a strong trading background. A solid understanding of machine learning techniques and hands-on experience with Python are a

Candidates should have 7+ years of experience in data science/ML engineering, with a focus on search and personalization systems. A strong background in recommendation systems and technical leadership

Candidates must have an active Secret clearance and a degree in a related field, along with 7+ years of experience in data science and AI/ML. Proficiency in Python and experience with AI/ML frameworks

Develop analytical solutions using machine learning and AI techniques. Requires experience in predictive modeling, Python, and data analysis. Full-time remote position.

Lead development of machine learning models for lending in the Philippines. Collaborate across teams to enhance analytics and business outcomes. Requires expertise in Python, SQL, and machine learning.