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Data Architect
Отличная вакансия для опытного архитектора: работа в инновационной компании, современный стек технологий (Data Mesh, Snowflake, SageMaker) и полностью удаленный формат. Высокий уровень влияния на продукт и стратегию.
Сложность вакансии
Роль требует глубоких знаний в области Data Mesh, облачных инфраструктур (AWS) и машинного обучения, а также более 7 лет опыта. Высокий уровень ответственности за архитектурные решения и менторство команды делает позицию сложной.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior Data Architect в США и Канаде рыночный диапазон составляет $160,000 - $210,000 в год. Данная роль предполагает высокий уровень экспертизы, что соответствует верхней границе рыночных ожиданий.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Architect/Strategist position at Robots & Pencils. With over 7 years of experience in data science and a proven track record of deploying complex machine learning models into production, I am confident in my ability to drive meaningful digital transformation for your clients. My expertise in building Data Mesh architectures and deep proficiency with AWS, Databricks, and Snowflake align perfectly with your technical requirements.
Throughout my career, I have focused on bridging the gap between advanced analytics and actionable business strategy. I have successfully led multidisciplinary teams to develop predictive models that solve real-world challenges, from customer behavior analysis to operational efficiency. I am particularly drawn to Robots & Pencils' culture of scientific rigor and practical execution, and I am eager to contribute to your mission of building intelligent systems that deliver measurable impact.
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Описание вакансии
- Brief Summary of Work:
+ At Robots & Pencils, we harness the power of data to help our clients achieve meaningful digital transformation. We’re seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights.
This is a high-impact role ideal for a candidate who thrives at the intersection of innovation and execution. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions.
About You
You’re passionate about discovering what data can reveal. You approach problems with curiosity and scientific rigor, always looking to test, learn, and improve. You have deep experience with statistical modeling, machine learning, and experimentation. You're collaborative, business-savvy, and known for delivering results that move the needle.
Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers.
What You’ll Do
Modeling & Advanced Analytics
Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization).
Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges.
Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.
Data Exploration
Analyze large, complex datasets to extract key insights and translate them into strategic recommendations.
Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization.
Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.
Partnership & Enablement
Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications.
Mentor junior data scientists, supporting technical development and scientific rigor.
Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.
Qualifications & Experience
7+ years of professional experience in data science, statistics, and applied machine learning.
Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies.
Building and deploying Data Mesh architectures.
Strong experience in AWS tools and infrastructure and cloud AI and data tools essential. Experience in working in other cloud environments (GCP, or Azure) would be an advantage.
Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks.
Proven track record in statistical modeling, time series forecasting, NLP, or optimization.
Experience designing and analyzing controlled experiments (A/B testing, uplift modeling).
Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering.
Experience with tools such as Databricks, SageMaker, and Snowflake is essential.
Experience of Palantir would be an advantage.
AWS cloud certifications or ML specialization credentials are an advantage.
Core Competencies
Scientific Thinking – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically.
Practical Execution – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy.
Business Acumen – Understands the “why” behind the data; aligns analysis with client goals and product strategy.
Ownership & Accountability – Delivers high-quality, reliable work end-to-end; takes pride in outcomes.
Communication – Explains technical results clearly and persuasively to diverse audiences.
Team Collaboration – Works effectively across functions and time zones; contributes to a culture of openness and shared learning.
Why Join Robots & Pencils?
At R&P, we don’t just build software; we help our clients build the future. We are a diverse, globally distributed team that thrives on solving challenging problems and delivering exceptional results. If you're a data scientist who’s excited about building intelligent systems that deliver measurable impact, we’d love to hear from you.
- Tech stack:
+ Python, TensorFow/PyTorch, Data Mesh, AWS, Databricks, SageMaker, Snowflake
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Навыки
- AWS
- Azure
- A/B Testing
- Python
- GCP
- PyTorch
- Machine Learning
- Statistics
- NLP
- Scikit-learn
- Snowflake
- Databricks
- TensorFlow
- APIs
- R
- Palantir
- SageMaker
- Data Mesh
Возможные вопросы на собеседовании
Вакансия требует опыта работы с Data Mesh. Важно понять, как кандидат реализует децентрализованное управление данными.
Расскажите о вашем опыте проектирования и внедрения архитектуры Data Mesh. С какими основными трудностями вы столкнулись?
Стек включает AWS, SageMaker и Databricks. Нужно оценить навыки работы с облачными ML-платформами.
Как вы организуете жизненный цикл ML-моделей (MLOps) при использовании AWS SageMaker и Databricks для обеспечения масштабируемости?
Роль предполагает менторство и техническое лидерство.
Опишите ваш подход к менторству младших специалистов и обеспечению научной строгости (scientific rigor) в их работе.
Вакансия требует умения переводить сложные данные в бизнес-инсайты.
Приведите пример, когда вам пришлось объяснять сложную техническую концепцию или результат моделирования нетехническим стейкхолдерам для принятия бизнес-решения.
Упоминается важность A/B тестирования и причинно-следственного вывода.
Как вы подходите к проектированию контролируемых экспериментов для проверки гипотез в условиях сложных, зашумленных данных?
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