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Data Scientist

Data Scientist

Ekspert / Ekspertka w Dziale Efektywności Aktywów Upstream

ORLEN S.A.

Warsaw

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Role description

Twój zakres obowiązków

  • Tworzenie business case i scenariuszy dla aktywów i majątku w ramach Segmentu Upstream (utrzymanie, modernizacja, konsolidacja i sprzedaż aktywów, likwidacja)
  • Analiza porównawcza scenariuszy pod kątem efektywności ekonomicznej, operacyjnej, zgodności z regulacjami (przy wsparciu ekspertów) i realności wdrożenia
  • Opracowywanie rekomendacji działań (definicja problemu, proces analityczny, opcje strategiczne, uzasadnienie wyboru)
  • Prowadzenie projektów poprawy efektywności, restrukturyzacyjnych, konsolidacyjnych
  • Tworzenie przejrzystych prezentacji, raportów i innych informacji zarządczych
  • Koordynowanie procesu opracowania scenariuszy optymalizacji przy współpracy z zespołami technicznymi, finansowymi, prawnymi

Nasze wymagania

  • Wykształcenie wyższe (preferowane - finanse, ekonomia, zarządzanie i pokrewne)
  • Preferowane doświadczenie w wiodących firmach doradztwa biznesowego lub w obszarach strategii i transformacji w firmach przemysłowych
  • Silne umiejętności analityczne i strukturyzacji problemów (MECE, issue trees, 80/20, inne)
  • Doświadczenie w pracy z danymi finansowymi i informacjami technicznymi
  • Proaktywność, skuteczność w działaniu i odpowiedzialność biznesowa
  • Nastawienie na ciągły rozwój i umiejętność czerpania z różnych perspektyw

Mile widziane

  • Doświadczenie w projektach poprawy efektywności (performance improvement), optymalizacyjnych, budowy wartości (value creation) restrukturyzacyjnych, due dilligence lub M&A w branży Oil & Gas albo Mining
  • Znajomość specyfiki działalności Oil & Gas

To oferujemy

  • Stabilne zatrudnienie i atrakcyjne wynagrodzenie (w tym system premiowy)
  • Praca w nowoczesnym, międzynarodowym koncernie
  • Możliwość pracy z ekspertami z różnych dziedzin
  • Wyzwania zawodowe na światowym poziomie
  • Uczestnictwo w dużych, nowatorskich projektach
  • Dostęp do nowoczesnych narzędzi i metod pracy

Dodatkowo otrzymasz

  • Mobilność wewnątrz Grupy ORLEN i możliwości rozwoju w zagranicznych spółkach
  • Mentoring pracowniczy wspierający Twój rozwój zawodowy
  • Programy well-beingowe wspierające dobrostan
  • Program wspierający rodzinę
  • Dostęp do platformy kafeteryjnej

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.

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Data Scientist

Growth manager

Bending Spoons

Warsaw

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Role description

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

  • Understand.
    Build deep knowledge of your product, its business model, and the key levers driving growth.
  • Analyze.
    Use AI, automation, and advanced analytics to explore high-performing campaigns, identify patterns in user and product data, and generate actionable insights.
  • Ideate.
    Turn insights, experiment results, competitor research, and AI-assisted exploration into hypotheses and identify opportunities to improve growth and monetization.
  • Test.
    Design and run rigorous experiments with real users, partnering closely with designers, engineers, and analysts to bring ideas to life and iterate quickly based on results.
  • Scale.
    Roll out winning ideas broadly, and use learnings from each experiment to shape the next cycle of discovery and testing.

What we look for

  • Reasoning ability.
    Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
  • Drive.
    You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
  • Team spirit.
    You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
  • Proficiency in English.
    You read, write, and speak proficiently in English.

What we offer

  • Incredibly talented, entrepreneurial teams.
    You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
  • An exceptional opportunity for growth.
    We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
  • All. These. Benefits.
    Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  • Competitive pay and access to company equity at a discount.
    Typical annual salary offers range from £85,797 to £151,436 in London and from €66,065 to €107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to £316,052 in London or €240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity.

Commitment & contract
Permanent or fixed-term. Full-time or part-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from one of our offices, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

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 Scientist

Senior Insights Analyst (Growth Analytics Team)

Semrush

Warsaw

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Role description

Semrush is a brand visibility platform, empowering marketers to command their online presence and create measurable impact. We unify SEO authority and AI visibility, so brands are found, cited, and chosen everywhere search happens. That’s how Semrush gained the trust of over 28 million users—from scaling startups to Fortune 500 companies.

Here, you own the way you work, but we move as one unbeatable team.

We don’t just lead the market, we’re busy creating the world where Semrush is an unfair advantage for every marketer.

We move fast in ways to help you grow. Here, you have room to experiment, keep what works, and learn quickly from what doesn’t.

Ready to share our ambition and make an impact? Then, this role may be for you.

About The Role
We are looking for a Senior Insights Analyst to own the measurement of Semrush data products. You will define and improve how we measure usage, activation, and monetization, delivering measurable business impact through reliable, scalable analytics.

Key Responsibilities

  • Own the measurement of our data products end to end: usage and consumption analytics, activation and success metrics, and their connection to downstream revenue, upgrades, expansion, and retention.
  • Build the data foundations for the scope: analytical frameworks, metric definitions aligned to company SSoTs, and data quality in collaboration with engineering teams.
  • Turn usage analysis into monetization decisions: product limits, thresholds, pricing, and packaging recommendations.
  • Own user segmentation, including analytics and experimentation for the production LLM-based customization model: monitor quality, evaluate new use cases, and contribute to its roadmap.
  • Analyze and help optimize product-led growth funnels.
  • Design, run, and interpret experiments through the team's decentralized A/B infrastructure to measure the impact of product and pricing changes.
  • Translate insights into clear, actionable recommendations and present them to stakeholders up to the senior leadership level, ensuring clarity and strong business impact.
  • Work in an AI-native way: automate recurring analyses, leverage LLM tools to improve productivity, and share best practices within the team.

About You
Move together. Raise the bar. Learn fast—grow faster. That’s the default. And here’s what else is needed to succeed in this role:

  • 5+ years of experience in product analytics, data analysis, or similar analytical roles, with a demonstrated track record of driving business impact.
  • Advanced proficiency in SQL and strong experience working with large-scale relational datasets (BigQuery experience is a plus).
  • Proven experience analyzing complex datasets and solving ambiguous, high-impact business problems.
  • Strong foundation in statistics and quantitative analysis, with hands-on experience designing, running, and interpreting A/B tests or other experiments.
  • Experience building analytical frameworks (funnels, segmentation, monitoring) and measuring the impact of product or business changes.
  • Proven ability to partner with senior stakeholders and influence decisions through data.
  • Strong data visualization and storytelling skills (Tableau is a plus), with experience presenting insights to senior leaders and non-technical audiences.
  • Demonstrated ability to independently own analytical projects end-to-end and operate effectively in a fast-paced environment.
  • Hands-on experience with LLM tools in analytical workflows (prompting, prototyping, automation).
  • Experience contributing to analytics best practices and knowledge sharing within a team.
  • Bachelor's degree in Economics, Mathematics, Statistics, Computer Science, or a related field (Master's degree preferred).
  • Experience with usage-based pricing models or developer-facing products is a plus.

About The Perks

  • Unlimited PTO
  • Hobby & team building budget allowance
  • Employee Support Program
  • Loss of family member financial aid
  • Employee Resource Groups

A Little More About Us
Semrush is the leading brand visibility platform, empowering marketers to command their online presence and create measurable impact.

Built on the industry’s most expansive proprietary dataset, Semrush delivers AI-driven insights across GEO, SEO, Agentic Search Optimization, content marketing, paid media, and social strategy. The company was founded in 2008 and is headquartered in Boston, MA with a global presence across North America, Europe and Asia.

We’ve built something people are proud to be part of. And the awards agree: Great Place to Work, DEI Workplace, Diversity Champion Award, International Inclusion Award, Most Women Friendly Employers, Best Place for Working Parents. All thanks to 1700+ employees who build the company every day.

About Our Diversity, Equity, And Inclusion Commitments
Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! We are committed to ensure that everyone feels a sense of belonging in the workplace.

We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.

Ready to be a part of this mission? Join us!

Apply for this job

Maryna Shamina

Talent Acquisition Specialist

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 Scientist

Delivery Manager - Data & AI Competency Center (f/m/x)

Sii Poland

Warsaw

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Role description

Our dynamically growing Data & AI Competence Center focuses on advanced data analytics, artificial intelligence, and modern data platforms. Our team consists of over 300 specialists delivering innovative Data and AI projects for clients across various industries.

Join us as a Delivery Manager – a key role responsible for managing complex project streams, ensuring high-quality delivered solutions, and actively supporting sales activities.

Your tasks

  • Execution and supervision of projects in the Data & AI area
  • Independent management of commercial projects and responsibility for their financial results
  • Leading and managing project teams, ensuring their efficiency and development
  • Building and maintaining long-term client relationships, ensuring high satisfaction
  • Collaboration with the sales team to develop business and identify new opportunities
  • Preparing technical and commercial offers and co-creating winning proposals for clients
  • Ensuring high quality of delivered services and managing project risks
  • Participation in initiatives developing Data & AI competencies (workshops, conferences, knowledge sharing)

Requirements

  • Minimum 3 years of experience as a Delivery Manager or Project Manager in IT
  • Ability to prepare offers and collaborate with sales teams
  • Experience in managing project teams, budgets, and delegating and enforcing tasks
  • Collaboration with external clients and building and maintaining business relationships
  • Very good organizational skills, proactivity, and decisiveness
  • Knowledge of project management tools (e.g., Jira, MS Office) and effective use of AI at work
  • Very good command of English – minimum B2 level
  • Residence in Poland and fluent knowledge of Polish

Nice to have

  • Experience in executing projects in Data, Big Data, Analytics, or AI/ML areas
  • Participation in implementations of modern data platforms such as Databricks, Snowflake, BigQuery, Microsoft Fabric
  • Involvement in implementing solutions based on GenAI
  • Experience working with enterprise clients or regulated industries

Job no. JOB-M3BHH

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care

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 Scientist

Senior Data Warehouse & BI Developer (SAS / Oracle)

ALGOTEQUE Innovation Hub

Warsaw

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Role description

ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.

Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.

Job Description
Poszukujemy doświadczonego Senior Data Warehouse & BI Developera, który będzie odpowiedzialny za projektowanie, rozwój oraz utrzymanie rozwiązań Hurtowni Danych i Business Intelligence. Konsultant będzie uczestniczyć w całym cyklu wytwarzania oprogramowania - od projektowania architektury i modelowania danych, przez implementację procesów ETL, aż po zapewnienie jakości kodu i wsparcie testów.

Zakres Projektu

  • Projektowanie i modelowanie kompleksowych rozwiązań Hurtowni Danych oraz Business Intelligence w technologiach SAS i Oracle.
  • Projektowanie, implementacja oraz rozwój procesów ETL.
  • Modelowanie struktur danych (schematy gwiazdy, tabele faktów i wymiarów).
  • Przygotowywanie dokumentacji technicznej i powykonawczej dla zespołu deweloperskiego.
  • Przeprowadzanie Code Review oraz monitorowanie jakości dostarczanego oprogramowania.
  • Analiza i optymalizacja kodu oraz wydajności procesów przetwarzania danych.
  • Nadzór nad testami deweloperskimi oraz zapewnienie kompletności dokumentacji.
  • Wsparcie zespołu podczas testów i wdrożeń przygotowanych rozwiązań.
  • Współpraca z zespołami projektowymi pracującymi w metodykach Agile/Scrum.

Profile / Requirements

  • Wykształcenie wyższe na kierunku Informatyka lub pokrewnym.
  • Minimum 5 lat doświadczenia na podobnym stanowisku.
  • Praktyczne doświadczenie w projektowaniu i rozwoju Hurtowni Danych.
  • Bardzo dobra znajomość SQL oraz relacyjnych baz danych, preferencyjnie Oracle.
  • Doświadczenie w modelowaniu danych (schematy gwiazdy, tabele faktów i wymiarów).
  • Praktyczna znajomość systemów i procesów ETL.
  • Bardzo dobra znajomość technologii SAS Institute (SAS 4GL).
  • Doświadczenie w pracy zgodnie z metodykami Agile i Scrum.
  • Umiejętność jasnej, efektywnej komunikacji oraz współpracy z zespołem.

Mile Widziane

  • Doświadczenie w optymalizacji wydajności procesów ETL oraz zapytań SQL.
  • Doświadczenie w projektowaniu architektury rozwiązań BI i Hurtowni Danych.
  • Umiejętność pracy w złożonych środowiskach korporacyjnych.

AO4382

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.

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Ekspert / Ekspertka w Dziale Efektywności Aktywów UpstreamORLEN S.A. · Poland

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