Senior Data Scientist
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
MyFitnessPal encourages innovation and adoption of the latest technologies available to deliver an amazing experience for our members. Technologies, services and/or languages we work with: Python, SQL, Snowflake, Databricks, Elasticsearch, MySQL, Kubernetes, Docker, Scale.ai, AWS Ground Truth, Doccano, Braze.
What you’ll be doing:
- Diving into MyFitnessPal’s vast datasets with the intention of harnessing our scale to identify patterns of success for users in their health journeys
- Create cohorts and user segments via clustering and other statistical methods
- Build ML models that drive a personalized experience throughout the MyFitnessPal user journey
- Evaluate and improve existing systems to provide more robust solutions that allow others to move quickly and efficiently (our data can be messy, leave it better than you found it!)
- Partner with product engineering and data engineering to ensure the team adopts best practices for code development, DataOps/MLOps, testing, data quality, and quality assurance.
- Support resolution of production issues with ML model-driven production features.
- Work with our engineering, data science, product and leadership teams in support of MyFitnessPal to solve critical user problems. This is a broad surface area and uses a variety of technologies.
- You should apply for this role if you:
- 6+ years of machine learning experience in a production setting, with extensive experience in NLP, personalization/ranking, and/or deep learning.
- Deep knowledge of AI architectures, ML algorithms, applied statistics, and generative AI and LLMs.
- Demonstrated AI/ML product development from inception to deployment and maintenance.
- Confidence and passion to quickly make an impact via rapid prototyping and in-app A/B testing .
- Ability to partner with different functions to ensure that your solutions drive real business impact, especially lifecycle marketing.
- A high degree of technical understanding to be able to closely collaborate with engineers and ML practitioners and being additive in strategic discussions about MFP’s future product offering.
- Excellent written communication skills and ability to present technical content to non-technical audiences.
- Strategic thinking and ability to incorporate larger business context into algorithm and product development.
- Can quickly assess complex problems and facilitate group discussions to identify solutions and generate appropriate milestones and tasks.
- Have a solid understanding of what it takes to build production ML-models used in consumer applications.
- Strong proficiency in programming languages such as Python, R, and SQL.
- Have a Master’s degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field (or otherwise equivalent and extensive real-world experience).
نوع التوظيف
القسم / المجال المهني
مدير قاعدة البيانات / تخزين البيانات (برنامج تكنولوجيا المعلومات)
