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Data Engineer

Data Engineer

Staff Data Scientist

Preply

Kyivfulltime

Apply on the employer's site

Role description

We power people’s progress.
At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!
At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.

As a Staff Data Scientist , you will own the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks.

Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!

What you’ll be doing:

  • Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership.
  • Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization.
  • Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.
  • Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value.
  • Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment.
  • Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives.
  • Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization.
  • Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework).

What you need to succeed:

  • Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact.
  • Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible.
  • Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization.
  • Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows.
  • Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization.
  • Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
  • Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions.
  • Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.

Nice to have:

  • Background in 2-sided marketplaces or digital businesses (B2C, B2B2C).
  • Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).
  • Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements.
  • Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
  • Master's degree or PhD in a quantitative field.
  • Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams.

Why you’ll love it at Preply

  • An open, collaborative, dynamic, and diverse culture;
  • A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self-development;
  • A competitive financial package with equity, leave allowance, and health insurance;
  • Access to free mental health support platforms;
  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)

Our Principles

  • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
  • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
  • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
  • Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
  • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
  • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
  • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
  • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
  • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
  • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion
Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Data Analyst

SKELAR

Kyivfulltime

Apply on the employer's site

Role description

Що варто знати про SKELAR?
Це венчур-білдер — іншими словами, компанія, яка будує компанії. З нами фаундери створюють consumer-бізнеси, які стають лідерами на глобальних ринках EdTech, Mental health, Petcare, FashionTech та інших.

Скеларівці будують tech-продукти, які здобувають відзнаки від Product Hunt, The Webby Awards та отримують тисячі позитивних відгуків на TrustPilot. Загалом tech-продуктами наших бізнесів користуються 10+ млн людей у світі.

Усе завдяки сильним командам, бо наші спеціалісти — це ключова цінність SKELAR.

Для професійної реалізації ми створили середовище з експертизою та необмеженими можливостями — і шукаємо тих, хто прагне викликів.

Зараз ми в пошуку Data Analyst, щоб разом піднімати планку результату.
Виклики, які чекають на цій ролі:

  • побудова звітності, метрик та впровадження їх у бізнес-процеси;
  • оцінка впливу ініціатив, причинно-наслідковий аналіз змін;
  • дизайн, запуск і оцінка A/B-тестів, прийняття рішень на основі результатів;
  • створення пайплайнів на Dataform та робота з великим об’ємом даних.

Що для нас важливо:

  • впевнене знання SQL;
  • знання Tableau;
  • вміти проводити дослідження з когортно-календарними взаємозв’язками;
  • аналітичне мислення та прагнення до нестандартних рішень;
  • акуратність, увага до деталей;
  • вміння працювати в команді.

Буде перевагою:

  • вміння проводити A/B-тести від генерації гіпотез до закриття;
  • вміння працювати з Dataform та BigQuery.

У SKELAR ми побудували середовище для професійної самореалізації:

  • SKELAR Platform. Це операційне ядро венчур-білдера, що допомагає фаундерам швидше проходити шлях від нуля до одиниці. Так команди бізнесів фокусуються на продукті — а 10+ команд в складі Platform закривають функції Legal, Finance, HR, Admin, Talent Acquisition, Employer Branding, IT та інші.
  • Нетворк та обмін досвідом як частина культури. Серед наших колег — кофаундери, які запустили не один бізнес, а також найсильніші спеціалісти на ринку. Тож ми маємо доступ до необхідної експертизи на відстані витягнутої руки.
  • Ексклюзивна доменна освіта. Ми створили власні навчальні програми для тіммейтів на вибір — від 2-місячної школи для менеджерів-початківців до інтенсивів про AI та професійних клубів з розробки, продакт-менеджменту тощо.
  • Вплив на системну допомогу Україні. Маємо благодійний фонд SKELAR foundation, який створили самі скеларівці — і завдяки кожному співробітнику втілюємо важливі соціальні проєкти. Наприклад, заснували перший у Європі акселератор для ветеранів і формуємо майданчик для підтримки ветеранів на рівні держави.
  • Екосистема для продуктивної роботи. Для скеларівців створені простори, які надихають на результат — з власним спортзалом, скеледромом, зеленими зонами Bali та бібліотеками. У спейсах, де сервіс, безпека та комфорт синхронізовані з темпом зростання команд, отримуємо вау-досвід та працюємо ефективніше.
  • Турбота про щоденний комфорт. Сніданки, обіди, доступ до спортивних тренувань в Києві або часткова компенсація занять у Варшаві, медичне страхування, оплачувані відрядження, якщо специфіка ролі передбачає такі поїздки, корпоративні знижки від партнерів.

Більше розповімо на нашій зустрічі-знайомстві.

Запрошуємо будувати the next big everything у SKELAR разом!

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Senior Data Engineer

MWDN

Kyivfulltime

Apply on the employer's site

Role description

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Why does MWDN rock?:

Here’s what you can expect when you join MWDN:

  • Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
  • Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
  • Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
  • Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

What is your new project?:

Domain: AdTech / Data Infrastructure & Business Intelligence

Client Location: United States

Company Size: 11–50

Founded: 2018

What makes this project exciting?:

We're looking for a Senior Data Engineer to build and scale the data infrastructure that powers our business intelligence platform. You'll work with massive volumes of ad server data, CRM data, and a variety of ancillary data sources to power real-time analytics by designing, maintaining, and enhancing pipelines that process billions of events.

This role sits at the intersection of ad-tech domain expertise and modern data engineering. You'll build systems that ingest data from SSPs, DSPs, ad servers, and various other data sources, transform it into actionable insights, and power dashboards that help our internal and external customers optimize campaigns, manage workflows, and drive efficiency and growth for everyone.

What Makes You a Great Fit

  • 5+ years of professional data engineering experience
  • 2+ years working with programmatic advertising and ad-tech data (GAM)
  • Strong proficiency in Python and SQL
  • Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
  • Experience with batch processing frameworks (Spark, dbt, Airflow)
  • Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
  • Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
  • Ability to work partial US work hours (available until 2pm ET)

Ad-Tech Data Experience
Data Sources (Familiarity Required):

  • SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)
  • Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exports

Data Models & Metrics

  • Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density
  • Auction analytics: bid landscape, floor optimization, timeout analysis
  • Demand partner performance: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT
  • Supply chain data: ads.txt validation, sellers.json mapping, SPO analysis

Technical Stack

  • Languages: Python, SQL, Scala (nice to have)
  • Processing: Apache Spark, dbt, Apache Flink
  • Warehouses: BigQuery, Snowflake, ClickHouse, Redshift
  • Orchestration: Airflow, Dagster, Prefect
  • Storage: S3, GCS, Delta Lake, Parquet
  • Infrastructure: AWS, GCP, Terraform, Kubernetes

Nice to Have

  • Experience with ML feature engineering for bid optimization or yield prediction
  • Background in building data products for publisher-side monetization
  • Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
  • Experience with CTV/OTT advertising data and video ad metrics
  • Knowledge of identity resolution and cross-device data challenges

Your Day-to-day In This Position

  • Design and build and enhance scalable data pipelines for processing data from a variety of ad server and ancillary data sources
  • Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
  • Develop ETL/ELT workflows to transform raw data into analytics-ready datasets
  • Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization
  • Build and maintain data warehouses and lakes optimized for ad-tech query patterns
  • Implement data quality monitoring, validation, and anomaly detection for data streams
  • Support Executive, BI and analytics teams with clean, documented, and performant data infrastructure
  • Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing

Why work with us?:

  • People-first management with minimal bureaucracy
  • A friendly company culture, proven by employees who choose to return
  • Flexible working hours
  • 29 days of PTO (18 working days per year pluse all national holidays)
  • 10 paid recovery days
  • Full financial and legal support for independent contractors
  • Free English classes, with native speakers or Ukrainian teachers
  • Dedicated HR support

Our Next Steps
✅ Intro call with a Recruiter — ✅ Introductory interview with the Client — ✅ Home assignment — ✅ Final client interview— ✅ Offer

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Senior Data Engineer

MWDN

Kyivfulltime

Apply on the employer's site

Role description

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Why does MWDN rock?:

Here’s what you can expect when you join MWDN:

  • Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
  • Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
  • Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
  • Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

What is your new project?:

Domain: AdTech / Data Infrastructure & Business Intelligence

Client Location: United States

Company Size: 11–50

Founded: 2018

What makes this project exciting?:

We're looking for a Senior Data Engineer to build and scale the data infrastructure that powers our business intelligence platform. You'll work with massive volumes of ad server data, CRM data, and a variety of ancillary data sources to power real-time analytics by designing, maintaining, and enhancing pipelines that process billions of events.

This role sits at the intersection of ad-tech domain expertise and modern data engineering. You'll build systems that ingest data from SSPs, DSPs, ad servers, and various other data sources, transform it into actionable insights, and power dashboards that help our internal and external customers optimize campaigns, manage workflows, and drive efficiency and growth for everyone.

What Makes You a Great Fit

  • 5+ years of professional data engineering experience
  • 2+ years working with programmatic advertising and ad-tech data (GAM)
  • Strong proficiency in Python and SQL
  • Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
  • Experience with batch processing frameworks (Spark, dbt, Airflow)
  • Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
  • Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
  • Ability to work partial US work hours (available until 2pm ET)

Ad-Tech Data Experience
Data Sources (Familiarity Required):

  • SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)
  • Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exports

Data Models & Metrics

  • Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density
  • Auction analytics: bid landscape, floor optimization, timeout analysis
  • Demand partner performance: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT
  • Supply chain data: ads.txt validation, sellers.json mapping, SPO analysis

Technical Stack

  • Languages: Python, SQL, Scala (nice to have)
  • Processing: Apache Spark, dbt, Apache Flink
  • Warehouses: BigQuery, Snowflake, ClickHouse, Redshift
  • Orchestration: Airflow, Dagster, Prefect
  • Storage: S3, GCS, Delta Lake, Parquet
  • Infrastructure: AWS, GCP, Terraform, Kubernetes

Nice to Have

  • Experience with ML feature engineering for bid optimization or yield prediction
  • Background in building data products for publisher-side monetization
  • Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
  • Experience with CTV/OTT advertising data and video ad metrics
  • Knowledge of identity resolution and cross-device data challenges

Your Day-to-day In This Position

  • Design and build and enhance scalable data pipelines for processing data from a variety of ad server and ancillary data sources
  • Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
  • Develop ETL/ELT workflows to transform raw data into analytics-ready datasets
  • Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization
  • Build and maintain data warehouses and lakes optimized for ad-tech query patterns
  • Implement data quality monitoring, validation, and anomaly detection for data streams
  • Support Executive, BI and analytics teams with clean, documented, and performant data infrastructure
  • Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing

Why work with us?:

  • People-first management with minimal bureaucracy
  • A friendly company culture, proven by employees who choose to return
  • Flexible working hours
  • 29 days of PTO (18 working days per year pluse all national holidays)
  • 10 paid recovery days
  • Full financial and legal support for independent contractors
  • Free English classes, with native speakers or Ukrainian teachers
  • Dedicated HR support

Our Next Steps
✅ Intro call with a Recruiter — ✅ Introductory interview with the Client — ✅ Home assignment — ✅ Final client interview— ✅ Offer

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Senior Data Engineer

MWDN

Kyivfulltime

Apply on the employer's site

Role description

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Why does MWDN rock?:

Here’s what you can expect when you join MWDN:

  • Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
  • Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
  • Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
  • Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

What is your new project?:

Domain: AdTech / Data Infrastructure & Business Intelligence

Client Location: United States

Company Size: 11–50

Founded: 2018

What makes this project exciting?:

We're looking for a Senior Data Engineer to build and scale the data infrastructure that powers our business intelligence platform. You'll work with massive volumes of ad server data, CRM data, and a variety of ancillary data sources to power real-time analytics by designing, maintaining, and enhancing pipelines that process billions of events.

This role sits at the intersection of ad-tech domain expertise and modern data engineering. You'll build systems that ingest data from SSPs, DSPs, ad servers, and various other data sources, transform it into actionable insights, and power dashboards that help our internal and external customers optimize campaigns, manage workflows, and drive efficiency and growth for everyone.

What Makes You a Great Fit

  • 5+ years of professional data engineering experience
  • 2+ years working with programmatic advertising and ad-tech data (GAM)
  • Strong proficiency in Python and SQL
  • Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
  • Experience with batch processing frameworks (Spark, dbt, Airflow)
  • Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
  • Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
  • Ability to work partial US work hours (available until 2pm ET)

Ad-Tech Data Experience
Data Sources (Familiarity Required):

  • SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)
  • Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exports

Data Models & Metrics

  • Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density
  • Auction analytics: bid landscape, floor optimization, timeout analysis
  • Demand partner performance: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT
  • Supply chain data: ads.txt validation, sellers.json mapping, SPO analysis

Technical Stack

  • Languages: Python, SQL, Scala (nice to have)
  • Processing: Apache Spark, dbt, Apache Flink
  • Warehouses: BigQuery, Snowflake, ClickHouse, Redshift
  • Orchestration: Airflow, Dagster, Prefect
  • Storage: S3, GCS, Delta Lake, Parquet
  • Infrastructure: AWS, GCP, Terraform, Kubernetes

Nice to Have

  • Experience with ML feature engineering for bid optimization or yield prediction
  • Background in building data products for publisher-side monetization
  • Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
  • Experience with CTV/OTT advertising data and video ad metrics
  • Knowledge of identity resolution and cross-device data challenges

Your Day-to-day In This Position

  • Design and build and enhance scalable data pipelines for processing data from a variety of ad server and ancillary data sources
  • Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
  • Develop ETL/ELT workflows to transform raw data into analytics-ready datasets
  • Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization
  • Build and maintain data warehouses and lakes optimized for ad-tech query patterns
  • Implement data quality monitoring, validation, and anomaly detection for data streams
  • Support Executive, BI and analytics teams with clean, documented, and performant data infrastructure
  • Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing

Why work with us?:

  • People-first management with minimal bureaucracy
  • A friendly company culture, proven by employees who choose to return
  • Flexible working hours
  • 29 days of PTO (18 working days per year pluse all national holidays)
  • 10 paid recovery days
  • Full financial and legal support for independent contractors
  • Free English classes, with native speakers or Ukrainian teachers
  • Dedicated HR support

Our Next Steps
✅ Intro call with a Recruiter — ✅ Introductory interview with the Client — ✅ Home assignment — ✅ Final client interview— ✅ Offer

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

22 more openings in this category and country

Staff Data ScientistPreply · Ukraine

Apply on the employer's site