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Thrive Global

Technical Lead Data Engineering Machine Learning  


Thrive Global


exec

machine learning

engineer

exec

machine learning

engineer

1mo

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{linebreak} 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.{linebreak}{linebreak}Who We Are Looking For{linebreak}{linebreak}{linebreak}* 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 {linebreak}{linebreak}* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.{linebreak}{linebreak}* 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{linebreak}{linebreak}* Has a proven track record of building and shipping data-centric software products{linebreak}{linebreak}* Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership{linebreak}{linebreak}* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}How You’ll Contribute{linebreak}{linebreak}{linebreak}* Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive{linebreak}{linebreak}* Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production{linebreak}{linebreak}* 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{linebreak}{linebreak}* Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers{linebreak}{linebreak}* Consider user privacy and security at all times{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Required Skills{linebreak}{linebreak}{linebreak}* Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics){linebreak}{linebreak}* 3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects{linebreak}{linebreak}* 8+ years of industry experience with data engineering and machine learning{linebreak}{linebreak}* Extensive programming experience in Java or Python with applications in data engineering and machine learning.{linebreak}{linebreak}* Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance{linebreak}{linebreak}* Excellent verbal and written communication skills{linebreak}{linebreak}* Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Relevant Technology and Tools Experience{linebreak}A good cross-section of experience in the following areas is desired:{linebreak}{linebreak}{linebreak}* AI/ML platforms:  TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.{linebreak}{linebreak}* Relational databases: MySQL, Postgres, RedShift, etc.{linebreak}{linebreak}* Big data technologies:  Spark, HDFS, Hive, Yarn, etc.{linebreak}{linebreak}* Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.{linebreak}{linebreak}* Deployment technologies:  Docker, Kubernetes, or OpenStack{linebreak}{linebreak}* Public Cloud:  Azure, AWS or Google Cloud Platform{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Our Mission{linebreak}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.{linebreak}{linebreak}What We Offer{linebreak}{linebreak}{linebreak}* A mission-driven company that’s truly making a difference in the lives of people around the world  {linebreak}{linebreak}* Ability to develop within the company and shape our growth strategy{linebreak}{linebreak}* Human-centric culture with a range of wellness perks and benefits{linebreak}{linebreak}* Competitive compensation package{linebreak}{linebreak}* Medical, vision and dental coverage + 401k program with company match{linebreak}{linebreak}* Generous paid time-off programs {linebreak}{linebreak}{linebreak}

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