7 senior data scientist jobs found

We are looking for a combined data scientist+engineer reporting to the head of data science who will own building and improving our real-time machine learning and recommendation systems.  About Us Today, online means alone immersed in microblogs and success theater. We're changing that. We are charting the course for the next era of the Internet: live, shared experiences. We're building a new way to use the Internet together.  Thats why were pioneering a new kind of social experience, one designed for togetherness. At its core, we are a social platform for doing whatever together. Gather with your people to explore the Internet: group video, listen to music, chat, watch stuff, send pictures, GIFs, and more.  Go watch the app marketing video on https://air.me/ then check out the app in person.  Our company was founded a few years ago by Sean Parker and Shawn Fanning and is backed by Kleiner Perkins, Andreessen Horowitz, Google Ventures, Founders Fund, and a host of...

Job Description: Staff Applied Machine Learning Scientist Mountain View, CA, US Description The mission of the team is to use data and machine learning to improve the care that we can provide to our members with diabetes and other chronic diseases. These are some of the most important parts of the team’s charter: - Building personalization algorithms to power product experiences - Modeling behavior to quantify and improve health outcomesUnderstanding and visualizing user behavior to improve product design - Building and sharing trusted reports and dashboards to drive decisions - Owning experimentation methodology and practice - Data sleuthing and analysis What You Will Do This will be one of the most senior/influential roles at the company. You will lead the work on machine learning, statistical modeling and data engineering to enable people with chronic health conditions to live better using data-driven recommendations to manage their health. You will also have a central...

Job Description: Staff Applied Machine Learning Scientist Mountain View, CA, US Description The mission of the team is to use data and machine learning to improve the care that we can provide to our members with diabetes and other chronic diseases. These are some of the most important parts of the team’s charter: - Building personalization algorithms to power product experiences - Modeling behavior to quantify and improve health outcomesUnderstanding and visualizing user behavior to improve product design - Building and sharing trusted reports and dashboards to drive decisions - Owning experimentation methodology and practice - Data sleuthing and analysis What You Will Do This will be one of the most senior/influential roles at the company. You will lead the work on machine learning, statistical modeling and data engineering to enable people with chronic health conditions to live better using data-driven recommendations to manage their health. You will also have a central...

Thanks for your interest in working with us. This is an overview of the problem we are solving, what weve done so far, and how you can get involved. We are a secure, automated machine learning platform for integrating, analyzing, and protecting sensitive data. Enterprises cannot safely leverage their data for analytics and machine learning because of security, privacy, and regulatory risks. The company's technology enables enterprises to securely analyze and share sensitive data without exposing any confidential information. Unlike traditional methods which remove or obfuscate information, we enable analytics across all data elements and data sources with the highest standard of security and privacy. We are deployed with the worlds largest enterprises across healthcare, technology, and financial services, solving entrenched problems around operationalizing data. We have raised $12.6M in capital and contracted seven-figure annual recurring revenue from customers. We are...

We harness the power of machine learning and predictive analytics to discover some of the fastest-growing companies in the consumer & retail sector. We are building a predictive data system called "Helio" to bring the data-driven revolution that has occurred in the public markets to the private markets, starting with consumer & retail. We are working on challenging problems in information retrieval, entity resolution, and developing an in-depth knowledge graph of all private companies. We are mining vast amounts of data to successfully rewrite the rules on how private companies are evaluated. We are looking for a senior data engineer who can help us scale a complex machine learning data pipeline. We currently lean heavily on technologies like Python, Spark, Dask, and Airflow. We're looking for passionate software engineers who are comfortable working across the full stack & lifecycle of predictive data products. Responsibilities   - Building performant and...

Maps are no longer static. Our maps represent the ever-evolving world, accessing, aggregating, and adapting anonymous data from millions of sensors and phones in real-time. We have the exciting opportunity to power devices and products across the next frontier in location-based data, such as Internet of Things and AR/VR. Whether youre watching the delivery of your grocery order on Instacart, looking at a gym on ClassPass, sending your snaps on Snapchat, tracking your personal best on Strava, monitoring your gas budget on Metromile, or checking todays forecast on The Weather Channel, we are the location and maps within those apps. Were changing how people move by live-mapping the world. We are the developer platform for location. What Youll Do As a frontend engineer on the growth team, youll work with data scientists, product managers, engineers, and leadership to conceive and execute experiments to improve user experience across our products to drive massive growth for our...

As a Principal Data Scientist, you will: Work with large scale dataset which includes transactional, click-stream, and telematics data; Build models, synthesize stories from data, and turn the stories into recommendations for building products that help our members to continuously improve on their driving; Help build econometric models to drive operational excellence; Work on data acquisition strategy to augment our dataset and drive value to our organization and members; Partner with cross-functional teams to execute product roadmap and ensure data is always a forethought in decision-making; Work with Data Engineers in building and maintaining near real-time data pipeline and machine learning infrastructure; Establish and maintain data dictionary; Own data quality controls and metrics; Build and mentor a team of awesome data scientists. Apply if you: Have 5+ years of programming experience (Python preferred); Have 3+ years of experience in developing...