88 data scientist jobs found

Data Scientist Within Engineering, the Security Services organization is responsible for building core security products and features, such as Data Loss Prevention, Malware and Threat Prevention, Cloud Confidence Index, Breach and Anomaly Detection. We apply Artificial Intelligence and Machine Learning technologies across cloud security platform. We are looking for talented data scientists with security domain knowledge. A successful candidate has deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, ideally has been through the entire lifecycle of an award winning security product, and must be passionate about cloud security. You will have the opportunity to work with a team of talented engineers, researchers and data scientists to solve the most challenging cloud security problems. Responsibilities: Identify strong AI/ML use cases in cloud security, data security and adjacent domains. Define scalable data...

You'll be challenged with solving extremely hard problems from scratch. You'll be motivated by the value you generate to the business, not just the accuracy of your models. You'll also be an excellent teammate and strong collaborator with all members of the team. Develop behavioral models for billions of mobile users. Develop algorithms that deal with a variety of prediction tasks at scale. Explore new approaches to improving predictive power. Deploy models into production and directly control spend. Collaborate with marketing managers, data engineers, and other data scientists to optimize the distribution of our products What You'll Need 3+ years of professional experience working as a Data Scientist Knowledge of data science that is both broad and deep Great coding skills, familiarity with scripting languages (Python, R), distributed computing (Spark, Presto, or Hive) and version control (Git) Experience with both supervised and unsupervised learning,...

We are looking for a   Data Scientist   to play a key role in the success of our Data Science team.  RESPONSIBILITIES Analyze and understand the disparate sources of industry data Apply data-mining and machine learning techniques to large structured and unstructured datasets Iterate to push the boundaries on what problems can be solved through data analytics Scaling from ad-hoc advanced analytics prototypes to large-scale learning solutions in live systems Collaborate closely with the product team and other engineers to translate business objectives into new features and products REQUIREMENTS BS, MS, or PhD in Computer Science, Engineering or related field 3+ years professional work experience with Python, Scala, or Java and distributed frameworks 3+ years experience with… Rapid prototyping and advanced analytics (e.g. R, MatLab, Pandas, SciPy) SQL and Relational Databases Demonstrable successes in delivering analytical projects, including...

As a Data Scientist on our content team, you’ll focus on developing, testing and evaluating data-driven content to help build informed conversation and engagement in local communities. You’ll help leverage a wide variety of data sources to extract insights about what is happening in local communities, and develop models to transform that data into informative and engaging content.  You should be excited to bring your experience and expertise every day in order to: Design and develop algorithms and models to transform data from a variety of sources into automated local content Leverage statistics, time series analysis, machine learning, and natural language processing to extract and represent newsworthy insights Develop and share key strategic insights through data analysis, including designing experiments and evaluating the performance and impact of data-driven content Partner with cross-functional teams to support product development efforts (including editorial,...

The team tackles challenging problems across many technical disciplines, including time series forecasting, causal inference, optimization, and machine learning. We are looking for an  exceptional Data Scientist   with a proven track record of applying advanced quantitative techniques and machine learning to solve business problems, and an expert at synthesizing and communicating insights and actionable recommendations to audiences at varying levels of technical sophistication. How The Successful Candidate Will Contribute Partner with various departments (e.g. Product, Engineering, Marketing, Content, etc.) to frame problems, both mathematically and within the business context; to measure and optimize products and business processes; to identify opportunities, assess risk potentials and explain trends; to drive audience and revenue growth Own end-to-end experience with data, including querying, aggregation, deep analysis, visualization and algorithms; communicate...

The Data Scientist will be responsible for designing, developing algorithms, programs, methods, processes, and systems to consolidate and analyze structured and unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The Data Scientist will: Be responsible for designing, developing algorithms, programs, methods, and processes. Be responsible for designing systems to consolidate and analyze structured and unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Explore a data set previously unavailable at such scale or granularity. Be responsible for data visualization, report creation, and dash-boarding. Research, develop, and test supervised and unsupervised learning models. Requirements: Bachelor’s Degree required in a quantitative discipline such as Statistics, Engineering, Computer Science, Applied...

We are looking for a highly experienced data scientist to solve numerous optimization problems that will impact rider experience, operation efficiency, and help elevate business growth on a massive scale. You will be responsible for developing analytical insights, machine learning models and actionable data-infoemd solutions. You will also be experimenting with data to predict future performance.  The Team Our team consists people that are passionate about creating finely polished and intuitive experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems. We work in very small groups to keep processes and overhead low, so we have a lot of trust and accountability to perform the work required to build the best product. Responsibilities Apply statistical techniques to develop analyses and models toward insights improving growth, experience, and operations...

We’re looking for a Data Scientist to join our growing company. In this role, you’ll ensure the financial viability of our business by developing our underwriting and/or pricing models.  Responsibilities Build and refine our default and/or pricing models using structured data Identify, analyze, and acquire new data sources to improve model accuracy Become a domain expert in risk and/or pricing Work Experience You have 3+ years of experience in machine learning, data science or analytics You have experience in either R or Python You have a strong understanding of statistical modeling techniques You demonstrate the ability to clearly communicate analysis Bonus points for previous credit default modeling experience, risk If you are up for it, apply today! Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: 866 816-1615 x 823 kris@bhotech.com www.bhotech.com

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...

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 standards. 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...

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...

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...

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...

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: Software Engineer & Aspiring Data Scientist Burlingame · Full Time Interested in transforming lives through better behavioral health care? Job Description 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: *3+ years of professional software development experience *Experience with Javascript and Python *Solid grasp of algorithms *Experience with creative problem solving in a professional environment *Experience building scalable REST APIs *Elasticsearch and D3.js expertise is a bonus 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: 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. Responsibilities 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: 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! Job Description 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: 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: Sr. Algorithm Engineer / Data Scientist San Jose · Full Time Job Description 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...