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Product Data Scientist
Оценка ИИОтличная вакансия в компании-лидере рынка с огромным охватом аудитории. Предлагает сильный социальный пакет (401k, страховка с первого дня) и возможность влиять на продукт мирового уровня.
Сложность вакансии
Оценка ИИРоль требует высокого уровня экспертизы (Senior) в области Data Science, владения Python и облачными платформами, а также опыта технического лидерства и менторства. Сложность обусловлена необходимостью не только строить модели, но и глубоко влиять на продуктовую стратегию через эксперименты.
Анализ зарплаты
Оценка ИИЗарплата для Senior Data Scientist в Атланте обычно находится в диапазоне $140k-$185k. Учитывая масштаб The Weather Company, можно ожидать предложение на уровне или чуть выше медианы рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Product Data Scientist position at The Weather Company. With over five years of experience in machine learning and a proven track record of partnering with product teams to drive strategic decisions, I am confident in my ability to contribute to your mission of providing the world's most accurate weather insights. My background in developing complex analytical frameworks and leading experimentation initiatives aligns perfectly with your requirements for this role.
In my previous roles, I have successfully translated high-level product questions into actionable data models and experiments, utilizing Python and cloud platforms like SageMaker. I am particularly drawn to this opportunity because of The Weather Company's scale and its commitment to using AI to help businesses and individuals prepare for the future. I look forward to the possibility of bringing my technical leadership and passion for data-driven innovation to your collaborative team.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в theweathercompany уже сейчас
Присоединяйтесь к лидеру в области метеорологических данных и определяйте будущее продукта для 360 миллионов пользователей!
Описание вакансии
About The Weather Company:
The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).
Job brief:
We’re looking for a Senior Data Scientist to partner closely with Product, Engineering, and Design teams to drive data-informed product decisions. In this role, you’ll translate complex product questions into analytical frameworks, build models and experiments, and deliver insights that influence strategy and roadmap priorities. You’ll also play a key role in technical leadership, mentoring, and shaping best practices across the data science function.
The impact you'll make:
- Partner with Product, Engineering, and Design to define success metrics and translate product questions into complex analytical frameworks.
- Develop and maintain models, dashboards and reports to establish and monitor key metrics and performance indicators.
- Drive innovation and testing to support strong strategic product decision making. Develop statistically sound hypotheses and communicate experiment results with clear recommendations.
- Establish best practices for experimentation, including power analysis and metric selection.
- Present findings and insights to senior management and other key stakeholders.
- Design and implement data collection systems and other strategies to optimize statistical efficiency and data quality.
- Leads technical decisions for multiple projects while collaborating with cross-functional teams.
- Guides and approves feature engineering and model architecture choices.
- Conducts and leads model reviews and validation processes for quality assurance.
- Provides technical guidance and mentorship to data science teams and junior scientists in best practices and technical development.
What you've accomplished:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related STEM field.; or commensurate experience.
- 5+ years of professional experience in data science, machine learning, or a related field.
- Expert-level Python and proficiency in multiple ML frameworks and languages
- Strong understanding of advanced ML/DL architectures and system design
- Experience with cloud ML platforms (SageMaker, Vertex AI) and distributed computing for ML
- Experience with quant analysis for A/B/n and multivariate experiments
- Understanding of statistical methods and quasi-experimental designs for analytical problems
- Demonstrated experience with ML documentation and advanced technical communication
- Technical leadership and mentoring abilities
- Project planning and execution skills
- Demonstrated capability in cross-functional collaboration and team leadership
- Demonstrated experience developing, presenting and influencing strategic decision making
Nice to have
- Experience with developing and deploying AI training and inference pipelines
- Experience with building Generative AI, Text to Speech, and Speech to Text solutions
- Experience providing architecture to drive product decision-making
TWCo Benefits/Perks:
- Flexible Time Off program
- Hybrid work model
- Variety of medical insurance options, including a $0 cost premium employee coverage
- Benefits effective day 1 of employment include a competitive 401K match with no vesting requirement, national health, dental, and vision plans
- Progressive family plan benefits
- An opportunity to work for a global and industry-leading technology company
- Impactful work in a collaborative environment
Создайте идеальное резюме с помощью ИИ-агента
Навыки
- A/B Testing
- Python
- Machine Learning
- Statistics
- Deep Learning
- NLP
- Feature Engineering
- Generative AI
- Google Vertex AI
- Amazon SageMaker
- Distributed Computing
Возможные вопросы на собеседовании
Проверка опыта в дизайне экспериментов, что критично для продуктового аналитика.
Расскажите о самом сложном A/B тесте, который вы проводили: какие метрики вы выбрали и как решали проблему чувствительности?
Оценка навыков технического лидерства и менторства, указанных в вакансии.
Как вы подходите к проведению код-ревью и ревью архитектуры моделей для младших коллег?
Проверка умения работать с облачными ML-платформами (SageMaker/Vertex AI).
Опишите ваш опыт развертывания ML-пайплайнов в облачной среде. С какими основными трудностями вы сталкивались?
Оценка способности переводить бизнес-задачи на язык данных.
Как бы вы определили успех новой функции в приложении The Weather Channel, используя количественные методы?
Проверка знаний в области современных технологий (Generative AI), упомянутых в 'Nice to have'.
Есть ли у вас опыт работы с Generative AI или NLP, и как эти технологии могут улучшить пользовательский опыт в погодном сервисе?
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