Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey. As a technical lead on Thrive’s Data Science and Analytics team, you will play a significant role in building Thrive’s platform and products.
Who We Are Looking For
A versatile engineering lead who has significant experience with data at all levels of maturity: raw telemetry through deployment and maintenance of models in operations
Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.
An innovator looking to push the boundaries of automation, intelligent ETL, AIOps and MlOps to drive high-quality insights and operational efficiency within the team
Has a proven track record of building and shipping data-centric software products
Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership
Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.
How You’ll Contribute
Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive
Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production
Develop new technology solutions to ensure a seamless transition of machine learning algorithms to production software, to enable the building out of easy to use datasets and to reduce other friction points within the data science life-cycle
Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers
Consider user privacy and security at all times
Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics)
3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects
8+ years of industry experience with data engineering and machine learning
Extensive programming experience in Java or Python with applications in data engineering and machine learning.
Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance
Excellent verbal and written communication skills
Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems
Relevant Technology and Tools Experience A good cross-section of experience in the following areas is desired:
AI/ML platforms: TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.
Relational databases: MySQL, Postgres, RedShift, etc.
Big data technologies: Spark, HDFS, Hive, Yarn, etc.
Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.
Deployment technologies: Docker, Kubernetes, or OpenStack
Public Cloud: Azure, AWS or Google Cloud Platform
Our Mission Thrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.
What We Offer
A mission-driven company that’s truly making a difference in the lives of people around the world
Ability to develop within the company and shape our growth strategy
Human-centric culture with a range of wellness perks and benefits
Competitive compensation package
Medical, vision and dental coverage + 401k program with company match
Generous paid time-off programs