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.
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.
As a two-sided marketplace, serving both car buyers and sellers, our vehicle data and pricing models are core to the...
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.
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.
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
Job Description: Data Scientist San Francisco · Full Time
You will be responsible for extracting and analyzing data from blockchains, exchanges, smart contracts, social media, and forums. You will use this data to predict cryptocurrency market movements.
This means joining a 5 person startup which is simultaneously accelerating the p2p open source ecosystem and building the top performing hedge fund in the world.
Compensation $80K – $140K 0.1% – 0.25% Visa Sponsorship Available
Kris Young Account Director BHO Tech San Jose, San Francisco CA Phone: (866) 816-1615 x 823 firstname.lastname@example.org www.bhotech.com
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.
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**
•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.
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: Lead Data Scientist, Machine Learning San Francisco · Full Time Are you passionate about a particular area, but want to contribute your skills to multiple projects? Come work with us, as we provide engineering solutions for growing startups in the tech space. 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. RESPONSIBILITIES: • Typical application areas of your algorithms involve: o Domain specific feature extraction o Entity extraction o Knowledge graph o Sentiment analysis...
Job Description: Sr. Algorithm Engineer / Data Scientist San Jose · Full Time
As a Sr. Algorithm Engineer / Data Scientist, you will take on challenges in areas that may include:
- Create, develop, invent, validate and integrate sensor fusion algorithms for natural HMI device - Design and implementation of data collection experiments, algorithm development, integration, and verification of embedded platforms - Optimize motion algorithms to minimize processing time and allow results to be available in ‘real-time’ - Contribute to the development of new/novel algorithms to recognize the pattern of activities/sports motions - From the feature definitions and higher level requirements, develop engineering requirements at both hardware and software - Conduct detailed analysis, simulation and testing of prototype and systems - Identify issues and provide resolutions and/or suggestions - Follow proper processes for requirements, software version and release...
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.
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: Principal Deep-learning Data Scientist San Francisco, Remote · Full Time
We are building the AI layer for supply-chain intelligence and maximizing margins for manufacturers. We focus on Automotive, CPG, and Electronics verticals. We've been around 4+ years, so we're resilient and have learned tons, but we're still a small team with lots of equity on the table, hence, now, ahead of the institutional round is the best time to make the jump and join!
You will be a key member of a growing team of awesome collegial free-thinking AI scientists and engineers developing solutions for the most challenging deep-learning problems in the one of the best and largest markets-- the global manufacturing and supply chain industry
You're up to speed on the latest developments in deep-learning neural networks (LSTMs, ConvNets; hybrid architectures etc) and deep-reinforcement-learning and have delivered at least one solution on a real customer data-set. But you...
Job Description: Lead/Manager Data Scientist Santa Monica, CA, US
Scientist to join our Business Intelligence team. In this role, you will build out a data science team that will be responsible for building predictive models as well as high level statistical analysis of big data.
The candidate must thrive on innovating in a fast-paced environment and be willing to run with projects to completion.
Apply your expertise in machine learning, data mining and presentation of data to see beyond the numbers and understand how our devices interact with both our customers and business services. Understand a business question, use data to answer that question, and effectively communicate results and functions to internal teams. Build predictive models that will then be used in production to inform various parts of the business. Lead and build out a team of data scientists.
Knowledge, Skills & Abilities
6+ years of experience in a Data Scientist role for a...
Job Description: Software Engineer & Aspiring Data Scientist Burlingame · Full Time
Interested in transforming lives through better behavioral health care?
We’re looking for someone with software engineering experience who is interested in building prototypes, visualizations, and internal tools as a member of our data science team. This position is designed to help us further the utilization of our data, analyses, and machine learning.
Here is what we are looking for:
What we do care about:
*BS / MS in CS or related technical field *How you build software. We expect you to be familiar with MVC architectures, front-end build processes, tools, unit testing, etc....
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.
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
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...
Job Description: Machine Learning Data Scientist – Algorithm Development Redwood City, CA, US
ABOUT OUR COMPANY
We believe conquering cancer is a big data problem. That’s why we built the world’s leading comprehensive liquid biopsy. This non-invasive tool for accessing and sequencing tumor DNA is used by thousands of oncologists to help tens of thousands of advanced cancer patients. We believe the boom in cancer data acquisition we helped launch will drive important discoveries and new products. We’re working on some exciting ones, including in early detection, where the impact on patients can be profound. We’ve raised more than $500 million from investors including Sequoia Capital, Khosla Ventures, OrbiMed, and SoftBank.
ABOUT THE ROLE
We are committed to positively and significantly impacting patient health through technology breakthroughs that address long-standing unmet needs in oncology.
As the leader in the field of liquid biopsy, We had collected cancer genomic...
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...
As a Data Scientist you will be responsible for developing and maintaining statistical models that allow us to analyze, mine and ultimately turn that data into insights that will help app developers and Fortune 500 enterprises grow their user base and revenue. Requirements
Master's degree or above in mathematics, statistics, or computer science
2+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries
A passion for data analysis and presentation of data insights
Ability to communicate effectively with technical developers and non-technical marketing business partners
Programming experience (R, Python, Ruby)
Experience implementing machine learning algorithms
Good working knowledge of MongoDB or similar DB technologies
Knowledge of statistical analysis toolsets (SAS, R, MATLAB) and techniques
Strong proficiency with one or more statistical visualization or graphing toolkits (MS...
We are looking for a highly motivated individual to join our Data Science and Engineering team. You will collaborate closely with engineering, PMs, cross-functional business units and address a wide range of challenging problems using techniques from applied statistics, machine learning and/or data mining fields. Required Qualifications/Experience
Seasoned data scientist with solid experience developing analytical dashboards,
solutions and strategy across digital marketing platforms and social ecosystems
In-depth knowledge of digital analytics data, measurement, methodologies and industry
Excellent communicator with good design sense and natural presentation skills that can
weave results in a narrative for business and creative teams to comprehend easily.
Self-starter can take a project from start to finish with minimal supervision
Flexibility to deal with rapidly changing, time-constrained launch schedules.
Able to balance multiple...
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...