Данные и ML вакансии

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Location: Taguig, National Capital Region Workplace: Hybrid Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd, is a technology-driven challenger bank in the Philippines operating under a BSP license. We combine the trust of a regulated financial institution with the speed and convenience of a modern banking experience. Here, product, risk, compliance, operations, technology, and customer experience work closely together to build and run a modern bank. We work with fewer layers, close collaboration, and a culture where every voice can make a difference. If you want to build reliable financial systems at speed, take on real operational complexity, and help raise banking standards across the Philippines, come build with us. ABOUT THE ROLE You'll own credit scoring across the full customer lifecycle — from application decisions to behavioral models that drive portfolio profitability. WHAT YOU'LL DO - Build and improve Application and Behavioral Scorecards that drive underwriting and collections decisions across live credit products. - Work within a regulated environment — prepare model documentation and defend modeling decisions to internal governance and external reviewers. - Collaborate with product, analytics, and engineering to translate model outputs into strategy changes and implementation specs. WHAT YOU'LL OWN - Own the full modeling cycle: data exploration, feature design, model build, validation, deployment specs, and post-production monitoring. - Track scorecard quality — AUC, KS, bad rate, stability index — and validate against real portfolio outcomes via NPV and backtesting. - Prepare model documentation and governance artifacts for regulatory review. - Shape credit strategy — your models directly influence approval, pricing, and collection decisions, not just inform them. WHAT MAKES YOU A STRONG FIT - 3+ years of hands-on experience building credit risk models — Application Scorecards and/or Behavioral Scorecards specifically (ECL/IFRS9-only experience does not substitute). - Experience with model audits, documentation, or regulatory review support. - Strong Python (pandas, scikit-learn) and SQL — you build models yourself, not just review others' work. - Experience covering the full lifecycle: data, feature engineering, validation, and production monitoring. WHAT WE OFFER WORK AND OWNERSHIP - Hybrid-first work environment with a modern office in Bonifacio Global City, Manila - Company-provided tools and equipment - Work with an international team combining global fintech experience with deep Philippine market knowledge - Direct access to decision-makers and a real voice in how we build for the Philippine market HEALTH AND TIME OFF - Medical insurance for you and your family - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave LEARNING AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

— Проектирование архитектуры данных: разработка и описание целевой архитектуры хранилищ (OLAP/OLTP), определение моделей данных, выбор форматов хранения и стратегий партиционирования. — Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE You'll be one of the founding data scientist on Replit's Growth team, working with Product and Engineering leadership across acquisition, activation and recommender systems, and helping shape how Replit experiments. This role is for someone who doesn't wait to be asked. You spot problems and opportunities before anyone else does, bring a strong point of view, and push it until it changes what we build. YOU WILL: - Own data science for major growth areas, partnering with PMs and engineers from problem framing and sizing through launch and readout - Make fast decisions trustworthy: we ship weekly and need a decision within days, but retention takes weeks to show up. You'll design the experiments and metrics that close that gap; for example, variance reduction (CUPED), sequential testing, and short-term proxy metrics validated against long-term retention and revenue - Help set the experimentation standards teams rely on for Replit's highest-traffic surfaces: how metrics and guardrails are defined, and the checks that catch a broken test before it misleads anyone - Use quasi-experimental designs (difference-in-differences, synthetic control, regression discontinuity) where randomization isn't feasible, such as pricing changes and regional launches - Help define the data science behind an emerging personalization and recommendations workstream: problem framing, offline and online evaluation, and measuring incremental lift - Model the economics of a freemium, usage-based product: credit consumption, conversion, and how pricing and limits change behavior - Develop user and project segmentation from behavioral and content signals (e.g., embeddings and clustering) so growth analysis reflects what people are actually building - Partner with Data Engineering on a shared metrics layer and experimentation tooling REQUIRED SKILLS AND EXPERIENCE - 6+ years in data science, with significant time on growth or experimentation for high-scale prosumer, PLG, or self-serve products - Data science experience at a fast-growing startup, where you built metrics, datasets, and experimentation practices without much existing infrastructure - Deep expertise in experimental design and statistical inference, including reaching reliable decisions when readout windows are short and the outcomes that matter are slow - Experience establishing experimentation standards or platforms adopted by multiple teams - Expert SQL and Python - A track record of analysis that changed what a team shipped, and of influencing senior Product and Engineering leaders - Heavy, practical use of AI tools to move faster in your own work PREFERRED QUALIFICATIONS - Comfortable building your own datasets in dbt; - Pricing, packaging, or monetization analysis for usage- or credit-based products - International or mobile growth experience - MS or PhD in statistics, economics, computer science, or another quantitative field BONUS POINTS - Experience with multi-armed bandits or adaptive experimentation - Familiarity with developer tools, AI products, or creator platforms This is a full-time role based in our Foster City, CA office with an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT GTM ENGINEERING: GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal. Like the infrastructure beneath the Magic Kingdom https://en.wikipedia.org/wiki/Disney_utilidor_system, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal. We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform https://deepline.com/blog/gtm-ai-nyc-chris-modal to building agents for account research https://parallel.ai/blog/case-study-modal. THE ROLE: We’re looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you’ll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation. WHAT YOU’LL WORK ON: - Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM - Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources - Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context - Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution - Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment - Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility - Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy - Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills YOU MAY BE A FIT IF: - You’re fluent in SQL and proficient in Python - You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same - You’ve built data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex - You have hands-on experience with CRM architecture, integrations, and revenue or marketing operations - You understand how leads, accounts, opportunities, and revenue move through a business - You have high attention to detail and a habit of testing, documenting, and monitoring the systems you build NICE-TO-HAVE: - Experience with usage-based businesses

Location: United Kingdom ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior/ Principal Statistician to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes. We are seeking an experienced Senior/Principal Statistician Consultant to provide statistical leadership and expertise across clinical development programs within the pharmaceutical industry. The successful candidate will contribute to clinical trial design, statistical methodology, data analysis, and regulatory submissions while collaborating with cross-functional teams to support evidence generation and informed decision-making throughout drug development. Key Responsibilities Provide statistical leadership across clinical development programs, from early-phase studies through late-phase clinical trials. Lead clinical trial design, including endpoint selection, sample size calculations, power analyses, and randomization strategies. Develop and review clinical study protocols, statistical analysis plans (SAPs), and other statistical documentation. Oversee statistical analyses and interpretation of clinical trial data to ensure scientific rigor and regulatory compliance. Provide statistical expertise for regulatory submissions and interactions with health authorities, including the FDA and EMA. Collaborate with Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing teams. Review statistical outputs, including tables, listings, and figures (TLFs), to ensure accuracy and consistency with analysis plans. Apply appropriate statistical methodologies to address complex clinical trial design and analysis challenges. Contribute to clinical study reports (CSRs), integrated summaries of safety and efficacy, and other regulatory documents. Identify statistical risks and recommend appropriate solutions throughout the clinical development process. Provide technical guidance and mentorship to statisticians and other team members, as appropriate. Required Qualifications and Experience PhD in Statistics, Biostatistics, or a related quantitative discipline; a Master's degree with substantial relevant experience may also be considered. Significant experience in biostatistics within the pharmaceutical, biotechnology, or clinical research industry. Strong knowledge of clinical trial design, statistical inference, sample size determination, power calculations, and statistical analysis methodologies. Proven experience developing and reviewing statistical analysis plans, clinical study protocols, and clinical study reports. Familiarity with regulatory requirements and guidance applicable to clinical development and statistical analyses. Experience supporting clinical development programs in oncology, rare diseases, and/or neuroscience. Experience supporting regulatory submissions and health authority interactions. Experience with complex clinical trial designs and advanced statistical methodologies. Proficiency in statistical programming tools such as SAS and/or R. Strong analytical, problem-solving, communication, and stakeholder-management skills. Ability to work independently and collaborate effectively with global cross-functional teams. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Principal #contract

Location: European Union ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior/ Principal Statistician to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes. We are seeking an experienced Senior/Principal Statistician Consultant to provide statistical leadership and expertise across clinical development programs within the pharmaceutical industry. The successful candidate will contribute to clinical trial design, statistical methodology, data analysis, and regulatory submissions while collaborating with cross-functional teams to support evidence generation and informed decision-making throughout drug development. Key Responsibilities Provide statistical leadership across clinical development programs, from early-phase studies through late-phase clinical trials. Lead clinical trial design, including endpoint selection, sample size calculations, power analyses, and randomization strategies. Develop and review clinical study protocols, statistical analysis plans (SAPs), and other statistical documentation. Oversee statistical analyses and interpretation of clinical trial data to ensure scientific rigor and regulatory compliance. Provide statistical expertise for regulatory submissions and interactions with health authorities, including the FDA and EMA. Collaborate with Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing teams. Review statistical outputs, including tables, listings, and figures (TLFs), to ensure accuracy and consistency with analysis plans. Apply appropriate statistical methodologies to address complex clinical trial design and analysis challenges. Contribute to clinical study reports (CSRs), integrated summaries of safety and efficacy, and other regulatory documents. Identify statistical risks and recommend appropriate solutions throughout the clinical development process. Provide technical guidance and mentorship to statisticians and other team members, as appropriate. Required Qualifications and Experience PhD in Statistics, Biostatistics, or a related quantitative discipline; a Master's degree with substantial relevant experience may also be considered. Significant experience in biostatistics within the pharmaceutical, biotechnology, or clinical research industry. Strong knowledge of clinical trial design, statistical inference, sample size determination, power calculations, and statistical analysis methodologies. Proven experience developing and reviewing statistical analysis plans, clinical study protocols, and clinical study reports. Familiarity with regulatory requirements and guidance applicable to clinical development and statistical analyses. Experience supporting clinical development programs in oncology, rare diseases, and/or neuroscience. Experience supporting regulatory submissions and health authority interactions. Experience with complex clinical trial designs and advanced statistical methodologies. Proficiency in statistical programming tools such as SAS and/or R. Strong analytical, problem-solving, communication, and stakeholder-management skills. Ability to work independently and collaborate effectively with global cross-functional teams. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Principal #contract

— проектировать, разрабатывать и развивать data pipelines; — работать с DWH: моделями данных, слоями, витринами и ETL/ELT-процессами;

Path Robotics is looking for a Data Engineer to build scalable data products and pipelines for machine learning robotics and business decisions.

🧩 Требования: от 2 лет опыта с Python и библиотеками для работы с данными (pandas, multiprocess, Google Cloud SDK); от 2 лет в ETL/ELT‑технологиях (REST API, GraphQL, DBT) и оркестрации пайплайнов (Airflow, Astronomer, DBT Cloud);

Location: Brazil, Colombia Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our customer is a leading education technology company that develops digital platforms and software solutions to support learning and improve educational experiences. The organization combines technology, data, and innovation to deliver scalable solutions to users and institutions worldwide. What You’ll Do Design, develop, and maintain reliable, scalable data pipelines and ELT processes using SQL and dbt. Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability. Manage and maintain infrastructure using Terraform and infrastructure-as-code practices. Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React. Collaborate with data, product, and engineering teams to deliver integrated data and application solutions. Contribute to the monitoring, troubleshooting, and continuous improvement of data pipelines, applications, and infrastructure. Participate in code reviews, technical discussions, and engineering best practices using GitHub and related tools. Participate in the on-call rotation, serving as the primary on-call engineer for one week out of every four and as backup on-call engineer for an additional week out of every four. What You Bring Strong hands-on experience with data engineering and ELT processes, including advanced SQL and dbt for building and maintaining data transformations and pipelines. Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments. Proven web application development experience with Node.js, TypeScript, GraphQL, and React, with the ability to contribute across backend and frontend components. Strong problem-solving and troubleshooting skills, with a focus on reliability, maintainability, and production support. Ability to collaborate effectively with distributed, cross-functional teams and work with colleagues operating in the US Mountain Time zone. Availability to participate in the on-call rotation, including one primary on-call week and one backup on-call week in every four-week cycle. Nice to have Experience with Snowflake and AWS cloud services. Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering. Experience with GitHub-based development workflows, including version control, pull requests, and collaborative code reviews. English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Руководить отделом из 10 человек (продуктовые, системные, бизнес-аналитики и аналитики данных). Глубокое понимание архитектуры современных хранилищ данных (DWH), озер данных (Data Lake) и принципов построения витрин.

Position Overview: Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. What You’ll Take On: Write and optimize complex SQL queries to support, experimentation, and model feature engineering across large-scale player datasets.

-Разработка шаблонов потоков данных на основе Flink DataStream. -Реализация архитектуры потоков данных.

• От 3 лет опыта в ML Engineering, Data Engineering или DevOps с развёртыванием и поддержкой ML-систем в продакшене. • Опыт построения ML training pipelines с experiment tracking и model registry (MLflow, W&B или аналоги).

Ищем инженера данных с сильными компетенциями архитектора данных и баз данных, который сможет взять на себя планирование и проведение внедрения инструментов хранения и обработки данных.