Senior Data Scientist
Posted on :
24-11-2024
Employer Active
1 Vacancy
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Job Description
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).
Employment Type
Full-time
Company Industry
Department / Functional Area
Key Skills
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