30 senior data scientist jobs found

Job Description: Senior Data Scientist, Machine Learning San Francisco · Full Time Our mission: We power human intuition with machine intelligence, enabling organizations to make decisions that matter. Job Description As a Machine Learning Data Scientist, you will have the chance to make a huge impact on the product. You will be in charge or part of the product from the algorithmic and accuracy perspective. You'll take the lead at understanding key metrics, elaborate evaluations and experiments. You will closely collaborate with the rest of the engineering team, as well as the product and user experience teams to drive innovation. You will be close to the full development cycle, from the whiteboard phase to the implementation phase. Typical application areas of your algorithms involve: Domain specific feature extraction Entity extraction Knowledge graph Sentiment analysis Hierarchical topic modeling User intent inference Recommendation engine The Opportunity...

Job Description: Senior Data Scientist San Francisco · Full Time Pioneering the fintech revolution within the antiquated, slow-moving $3.3 trillion commercial real estate loan market. Job Description We are looking for an exceptional Data Scientist to take part in building solutions using advanced analytics and statistical modeling techniques. You will work to recognize patterns and integrate your solutions and techniques into our products and our processes. You will have a high degree of authority and autonomy, manage multiple high-priority tasks in a timely manner, and collaborate across the business. A successful Data Scientist needs to be innovative, detail-oriented, team-focused, strategic and effective in new and changing environments. We are looking for the candidate to start immediately. **At this moment we are not sponsoring individuals for employment visas** RESPONSIBILITIES •Leverage external data sources to support customer acquisition and retention...

Job Description: Senior Data Scientist - Local Intelligence Are you passionate about solving interesting and challenging big data problems? Do you have expertise and interest in leading teams to solve interesting business problems using large-scale analytics and algorithms? If yes, you could be a great fit for this role with the Data Science team. The Data Science team works on a variety of exciting analytics and modeling projects that have a direct impact on our business. Responsibilities: Provide thought leadership on challenging data science problems that aim to make our company's marketplace more efficient. Example challenges include: Designing and solving an optimization problem that identifies which merchants to add to the platform, optimizing prices to address financial and other strategic objectives, predicting merchant performance, developing ensemble models, etc. Flood the room with elegant data science solutions to business problems and best practices in machine...

Job Description: Senior Data Scientist - Speech San Francisco · Full Time Grabbing lunch with friends, attending a last-minute business meeting, or a joyful Thanksgiving dinner often turns into a painful experience for 400 million people with hearing loss. Lipreading stays the only affordable solution to follow daily group conversations, and it's not even a good one. Job Description We're looking for a maven in all-things speech (deep learning interest/experience is a bonus). Most of ASR research is done in big companies. Sure, talent is around, but it's really only in less crowded space that your firefly brilliance can really shine. Hinton & al. can only confirm that. What about getting ALSO a unique growth & impact of an early-stage startup? Yes? drop everything else & read below. Products where ASR is really the key component are 99% of the time made to: *answer quick/superficial requests from lazy users (Siri, Google Now, Cortana, Echo) *dealing with...

Job Description: Senior Data Scientist, Machine Learning San Francisco, CA, US Description Position Overview As a Machine Learning Data Scientist, you will have the chance to make a huge impact on the product. You will be in charge or part of the product from the algorithmic and accuracy perspective. You'll take the lead at understanding key metrics, elaborate evaluations and experiments. You will closely collaborate with the rest of the engineering team, as well as the product and user experience teams to drive innovation. You will be close to the full development cycle, from the whiteboard phase to the implementation phase. Typical application areas of your algorithms involve: Domain specific feature extraction Entity extraction Knowledge graph Sentiment analysis Hierarchical topic modeling User intent inference Recommendation engine The Opportunity Work with product management, UX designers, and other data scientists to progress and iterate on the product quickly Help...

We are bringing transparency and trust to the used car industry. Data is core to this transformation, from building best-in-class pricing, to loan decisioning, to logistics optimization, to in-product recommendations. If you’re passionate about using data to fix an enormous, antiquated industry, you’ll fit right in. The Data Millions of cars are bought and sold in the US every year, but knowing exactly how much your car is worth is a challenge. We believe that fixing the used car industry requires providing customers with fair, detailed pricing reports in beautiful, easy-to-understand interfaces. By combining as much data as we can get our hands on, from the millions of listings available online, to car auction sales, to every vehicle’s specific repair history, we’re building the most accurate, transparent pricing tool in the industry. The Impact As a two-sided marketplace, serving both car buyers and sellers, our vehicle data and pricing models are core to the...

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...

About us: Since our inception in 2009, we have been a leading force in changing how location information enriches our real-world and digital lives. As a location intelligence company, we are comprised of two well-known consumer apps, as well as thriving media and enterprise products. Our B2B offerings include Places (for developers), Pinpoint and Attribution (for marketers), and Place Insights (for analysts, based on the world's largest foot traffic panel). With more than 200 people across our offices in New York, San Francisco, and in sales offices around the globe, we’re dedicated to our trailblazing mission—enriching consumer experiences and informing business decisions with location intelligence. About our Engineering Team: As a member of our engineering team, we want you to bring experience building real products from the ground up. We're passionate about tackling tough challenges in the location space and look for others who like to dive deep into code and help...

At the core of our company is our matching algorithm. Our users love how CMB curates perfect matches for them every day. We are looking for someone with experience building data models from large datasets in order to take our matching algorithm to the next level as we continue to grow our userbase! As the very first Data Scientist at CMB, you will be responsible for improving our algorithm and building models to solve other business critical needs (e.g. predictive model for customer satisfaction, automated detection of inappropriate or low quality images). This will involve refining existing models and proposing new ones. You will work closely with our CEO, CTO and the data team to implement your ideas and deploy them to production. For anyone who is driven by challenging data problems, this position offers a unique opportunity. There is still a lot of room for innovation in this domain, and we welcome bold new ideas for how we can match people more effectively. This...

About Us We are a messaging app that helps teachers, students, and parents communicate quickly and efficiently. We believe that when communication improves, relationships get stronger. Education gets better.  We're hiring team members inspired by the potential to transform education, motivated to solve communication challenges in education, and passionate about our vision of connecting every teacher, student, and parent in the world. With more than 23 million active users, we are one of the fastest-growing companies in education technology.  We’ve raised $59 million in funding from Kleiner Perkins, Social Capital, and First Round Capital to bring us closer to achieving our goals, and we want you to join us.  Responsibilities Work with engineering to anticipate and build solutions proactively Perform deep-dive analytics that inform important decisions across Product, Engineering, Marketing and Finance teams Analyze data to identify trends and opportunities,...

Job Description: Senior Mapping Engineer (Data Scientist) San Francisco · Full Time We are building computer vision software that makes self-driving cars a reality for the masses. 1.3 million people are killed every year on the road. Imagine if every one of these mistakes could be programmed into a crowd-sourced brain -- one that never makes mistakes, never gets drunk, and never falls asleep at the wheel. Job Description About the role: We have hundreds of thousands of miles of telemetry data to be processed into an accurate map. New data streams in every minute from our network of thousands of drivers across the US. Your role as a clever data scientist is to turn this data into the sheet music for a self-driving car. *About you*: - You have *5+ years* of programming, data science, and/or mapping experience Strong Python skills, bonus points for contributions to libraries like scikit-learn, NumPy, or Pandas - Have written complex, unit-tested, production code on a team...

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...

Job Description: Senior Software Engineer (Machine Learning) Palo Alto · Full Time Job Description We are successful entrepreneurs building another startup in downtown Palo Alto. Our company name is S8, Inc., which stands for startup #8, and is a tribute to a previous startup. We are passionate about building great, customer-centric, elegant technology products and services, and are looking for amazing people who share this passion. We're not publicly broadcasting exactly what we're up to, but if you're interested in mobile, messaging and/or machine learning, we're working on something big, and both customers and investors seem to agree. We’re happy to discuss the details with you in person. Your colleagues would describe you as the ultimate team player who is passionate, fun to work with, and unafraid to reach for greatness. You know a well-designed product when you see one (or design one), and you love making your customer happy and successful. You know startups because...

About Us:   Since our inception in 2009, we have been a leading force in changing how location information enriches our real-world and digital lives. As a location intelligence company, we are comprised of two well-known consumer apps, as well as thriving media and enterprise products. Our B2B offerings include Places (for developers), Pinpoint and Attribution (for marketers), and Place Insights (for analysts, based on the world's largest foot traffic panel). With more than 200 people across our offices in New York, San Francisco, and in sales offices around the globe, we’re dedicated to our trailblazing mission—enriching consumer experiences and informing business decisions with location intelligence. About Our Enterprise Team:   Our Enterprise Engineering team takes on the challenges of working with the full spectrum of data produced by our consumer apps. We build tools and products that allow employees and clients to get rich and meaningful insights about the real world. As...

About Us:   Since our inception in 2009, we have been a leading force in changing how location information enriches our real-world and digital lives. As a location intelligence company, we are comprised of two well-known consumer apps, as well as thriving media and enterprise products. Our B2B offerings include Places (for developers), Pinpoint and Attribution (for marketers), and Place Insights (for analysts, based on the world's largest foot traffic panel). With more than 200 people across our offices in New York, San Francisco, and in sales offices around the globe, we’re dedicated to our trailblazing mission—enriching consumer experiences and informing business decisions with location intelligence.   About our Engineering Team:   As a member of our engineering team, we want you to bring experience building real products from the ground up. We're passionate about tackling tough challenges in the location space and look for others who like to dive deep into code and help...

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...

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...

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...