Data Scientist вакансии - удалённо

Задачи: — Выявление производственных проблем и точек роста на основе данных; — Участие в обследовании производственных участков, выезды в цеха, изучение технологических процессов на месте; — Формализация производственных задач в цифровые кейсы: прогнозирование, классификация, детекция отклонений, контроль качества, оптимизация режимов; — Сбор, выгрузка, очистка и консолидация данных из производственных и корпоративных информационных систем; — Анализ данных технологических процессов, поиск закономерностей, факторов влияния и причин отклонений; — Разработка, обучение и валидация ML-моделей для прогнозирования, оптимизации и поддержки принятия решений; — Разработка и внедрение CV-решений; — Подготовка датасетов, разметка данных, организация процессов сбора и актуализации обучающих выборок; — Проверка гипотез, проведение пилотных проектов и оценка экономического эффекта; — Визуализация результатов анализа, подготовка отчетов и рекомендаций для производственных подразделений; — Взаимодействие с внутренними заказчиками, подрядчиками, интеграторами и смежными командами. Требования: — Практический опыт разработки и внедрения решений на базе ML; — Практический опыт разработки и внедрения решений на базе Computer Vision; — Опыт работы с производственными данными, временными рядами, журналами событий, технологическими параметрами; — Опыт полного цикла работы с данными: сбор, выгрузка, очистка, анализ, построение признаков, обучение моделей, внедрение; — Опыт проведения обследований производственных процессов и интервью с внутренними заказчиками; — Понимание специфики промышленного предприятия и готовность работать “в поле”; — Желателен опыт работы в металлургии, горнодобывающей промышленности, тяжелой промышленности, химическом производстве или энергетике; — Понимание технологических процессов агломерационного, коксового или доменного производства будет преимуществом; — Уверенное владение Python и библиотеками для ML/CV; — Знание методов регрессии, классификации, кластеризации, поиска аномалий, анализа временных рядов, оптимизации, глубокого обучения; — Опыт построения CV-моделей; — Опыт работы с SQL и промышленными базами данных (MES, ERP, SCADA, historians, лабораторные системы, систем АСУ ТП); — Понимание принципов интеграции моделей в промышленный ИТ-ландшафт; — Опыт работы с Docker, Git, MLOps-инфраструктурой; — Применение LLM в разработке решений; — Понимание производственных показателей: качество сырья и продукции, производительность, простои, расход топлива и энергоресурсов, стабильность технологических режимов, надежность оборудования; — Понимание причинно-следственных связей в производственном процессе и умение переводить экспертные знания технологов в аналитические модели; — Навык оценки экономического эффекта от цифровых инициатив: снижение потерь, снижение брака, снижение простоев, рост производительности, снижение расхода ресурсов. Условия: — ДМС, включая стоматологию; — Страхование жизни и страховка для путешественников; — Корпоративная мобильная связь; — Система скидок для сотрудников НЛМК ИТ; — Частичная компенсация питания в корпоративных столовых; — Возможность обучения за счет работодателя; — Активная корпоративная жизнь; — Поддержка от компании в жизненно важных событиях; — Бесплатный доступ к электронной библиотеке.

- Придумывать новые подходы и алгоритмы, которые помогут растить долгосрочную выручку Авито; - Воплощать эти гипотезы в реальность, от проработки идеи до выкатки в production;

— Разработка поведенческих моделей для сегментов ФЛ по основным продуктам банка. — Знание основных алгоритмов и методов ML и анализа данных: линейные модели, ансамбли, временные ряды, классификация и кластеризация.

-Выбор и построение подходящих математических моделей для решения поставленных задач. -Выбор оптимальной архитектуры решения задач продукта.

Location: Remote About the Team: Netlify’s Data team helps the company understand and improve the full product-led growth journey, from activation and engagement through conversion, retention, and monetization. We partner closely with Product, Engineering, and Growth to uncover opportunities, evaluate investments, and understand what drives customer and business outcomes. We’re hiring a Senior Staff Data Scientist to deepen how data shapes our product and growth strategy. You’ll develop an end-to-end understanding of the PLG journey, proactively identify opportunities, and turn complex data into hypotheses, experiments, and recommendations that influence where we invest and what we build. This is a highly autonomous role for someone who can move from identifying an important question to shaping the approach, defining success, and driving toward an answer. What You'll Do: Own the analytical understanding of Netlify’s PLG performance across activation, engagement, conversion, monetization, and retention, identifying opportunities before they become requests Partner with Product and Engineering leadership to turn behavioral insights into product bets, defining what to test, how to measure it, and what the results mean Lead experimentation from hypothesis through decision, including study design, methodology, success metrics, guardrails, analysis, and recommendations Apply statistical rigor where it matters while recognizing when there is enough signal to make a decision and move forward, and help teams develop that same judgment Build scalable analytical systems like semantic models, trusted metrics, proactive monitoring, and AI-powered agents  that surface opportunities without waiting to be asked Use AI to investigate faster, automate recurring analytical work, and test more hypotheses without sacrificing the judgment that makes the output useful Identify gaps in measurement, event instrumentation, and metric definitions, and partner with Data and Product Engineering to close them Serve as a trusted analytical partner to PLG leadership, using evidence and product judgment to influence investment decisions and roadmap priorities Influence product strategy through evidence, product instincts, and a clear point of view, without relying on formal authority to do it What You'll Bring: 8+ years of experience in product analytics, growth analytics, or data science, with a track record of high ownership and measurable impact on PLG or consumer product outcomes Deep understanding of product and growth dynamics across activation, engagement, conversion, monetization, and retention Demonstrated ability to turn behavioral data into product hypotheses and carry them from insight through experimentation and measured outcomes Deep experimentation expertise: study design, statistical reasoning, causal inference, and the judgment to know when an experiment has told you what you need to know Experience building analytical systems such as metrics layers, monitoring frameworks, or semantic models that teams can rely on over time An AI-native approach to analysis: you use AI tools actively to accelerate investigation, automate repetitive work, and surface patterns faster A track record of influencing senior stakeholders and product direction through analytical reasoning, clear recommendations, and sound judgment Comfort operating with significant autonomy in ambiguous problem spaces, including determining which questions are most important to answer Strong written and verbal communication skills in distributed environments, with the ability to make complex findings clear and recommendations actionable This Role is a Great Fit If: You're energized by finding the opportunity before anyone thought to ask - proactive discovery is how you naturally work, not a mode you shift into You think like a product person who happens to be exceptionally rigorous with data, not a data person who occasionally weighs in on product You thrive when the problem isn't handed to you - you'd rather define the question worth asking than answer the one that landed in your queue You get excited about building systems that keep working after you've moved on to the next problem You're comfortable making a call with imperfect information and can articulate clearly why you made it You enjoy being a thought partner to senior leaders - shaping how they think about investment and opportunity, not just supporting decisions already made You work well in a remote-first, async environment where written clarity and self-direction matter more than proximity You're drawn to roles where the measure of success is outcomes, decisions made, bets tested, metrics moved, not volume of output produced Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $204,000 - $275,000 for most US-based locations.  Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Разрабатывать и улучшать модели рекомендаций и ранжирования для разных пользовательских сценариев: рекомендации заведений на карте, поиск по категориям, персональные подборки. Формулировать и проверять продуктовые и ML-гипотезы: проводить офлайн-оценку моделей и участвовать в A/B-тестах.

- 5+ years of applied data science experience. - Experience with models in production.

Тебе предстоит решать исследовательские и прикладные задачи: от анализа данных и разработки метрик до создания, внедрения и сопровождения алгоритмов. Чем предстоит заниматься Анализировать и обрабатывать данные различного объёма и структуры.

ElevenLabs is looking for a Finance Data Scientist to deliver audit-ready finance analysis forecasting and pricing insights.

Alpaca is looking for a Senior Data Scientist AI Evaluation to design model evaluations, establish quality standards, and improve AI systems.

-Own and prioritise multiple concurrent production data-science projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes. -Expert-level proficiency in Python and SQL, with a track record of writing clean, testable, production-quality code.

Location: Remote; Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Portugal (Remote); USA (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); UK (Remote); Romania (Remote); Poland (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include: - Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies - Measuring the impact of major marketing campaigns for Duck.ai http://duck.ai, translating full-funnel data into actionable decisions - Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably - Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment - Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach   Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.   ABOUT YOU - You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction. - You can do 2 or more of the following: - Deploy and iterate on ML in production environments - Develop and deploy NLP solutions - Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development - Conduct marketing campaign analysis using Bayesian methods - You write production-grade code in Python or a comparable high-level language. - You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus. - You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data. - You collaborate effectively with product teams and contribute to overall team throughput. COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.   Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY, AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. KEY PRINCIPLES: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-February-5-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

💼 Role: Data Scientist.

💎4-7 лет опыта, Python, Vertex AI, BigQuery ML, Cloud Run/Functions или AWS/Azure, Fluent English.

Deliver novel and impactful insights for client organizations using machine learning and AI technologies. Work closely with our Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.

- 2+ years of experience in data analysis or modeling. - Strong knowledge of SQL (Google BigQuery, PostgreSQL).

Senior Data Scientist (Amber Team) в Semrush. 💎Python, SQL.

• Разработка моделей эластичности для различных групп клиентов, кластеризации клиентов по их поведенческим характеристикам. • Разработка поведенческих моделей для прогнозирования динамики объемов различных сегментов розничного портфеля Банка в множестве сценариев на периоде жизни портфеля.