40 jobs found

Overview Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning. Benefits Competitive Salary + Bonus Medical, Dental, and Vision Insurance Life Insurance 401k with Employer Match On-site Gym Downtown location near diverse mix of restaurants, amenities, etc. Parking and Cell Phone Stipend Employee Self-Service Portal with Specialized Perks Volunteer / Philanthropic Opportunities Responsibilities Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy. Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems. Define and scope related project tasks, goals and deliverables with proper timelines and schedule.  Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems. Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights. Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.  Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change. Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction. Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi). Assist with administering the company SharePoint environment. Support a series of data governance activities for the enterprise. Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports. Performs other duties as reasonably requested. Qualitative Skills Able to translate strategic business requirements into specific detailed technical requirements and tasks. Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture. Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands. Able to project manage, prioritize activities, and diligently adhere to project deadlines Strong communication / organization skills, research capabilities, and experience working with cross-functional teams. Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation. Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations Fanatical attention to detail and is process-oriented, methodical, and systematic. Experience in an investment management or real estate organization is strongly preferred. Quantitative Skills Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling). Experience in IT controls and data governance practices desired. Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus. One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience. Quantitative educational background with professional data analytics experience. Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI Proficiency with a statistical analysis tool such as R and/or Python Machine Learning experience strongly desired Education Required Education Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.  Preferred Education Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field

Job Description — Senior Machine Learning Engineer Reports To: Senior Director of Product Strategy OVERVIEW: Sub Rosa is a strategy and design practice headquartered in New York’s West Village. We create strategies and solutions that empower leaders and evolve organizations. Our work is grounded in Applied Empathy, a methodology created by Sub Rosa that brings insights and action together to drive change. Sub Rosa’s innovation group is developing a high impact solution that will analyze millions of data points to provide a comprehensive analysis on audience behaviors. From unstructured text, images, and documents from multiple data sources, the Sub Rosa innovation team is working to deliver a solution using the full range of Machine Learning (ML) techniques including but not limited to supervised learning, computer vision, deep learning and online learning. Sub Rosa is looking for a Machine Learning Engineer with an academic or practical background in machine learning, ideally with experience in algorithm design and selection, natural language processing (NLP), and unsupervised clustering algorithms. Sub Rosa’s Innovation Group hosts a team of creative, tenacious, and extremely bright individuals tasked with building a one of a kind solution that pushes the boundaries of existing AI based technologies. If you’re looking for a challenge and are desirous to buck the status quo, come join our team. RESPONSIBILITIES: You will work with the team to design, code, train, test, deploy and iterate on large scale machine learning systems You will build delightful products and experiences for Fortune 1000 clients, while working alongside an excellent, multi-functional, collaborative team across Engineering, Product and Design You will help craft the direction of machine learning and artificial intelligence at Sub Rosa REQUIREMENTS: BS and/or MS in Computer Science or a related technical field involving Machine Learning, or equivalent technical experience 5+ years of experience building machine learning or AI systems Strong analytical and problem-solving skills Strong programming skills in Python or equivalent Experience with machine learning software packages (e.g. scikit-learn, Weka, TensorFlow, Caffe, Theano, Torch) Experience in algorithm design, selection and verification Experience with unsupervised clustering algorithms (e.g. agglomerative hierarchical clustering, k-means clustering, DBSCAN, autoencoders, etc.) Preference in working in a collaborative team environment DESIRED QUALIFICATIONS: PhD/Doctorate in Computer Science or related field with research in machine learning Experience with natural language processing (NLP) and natural language generation (NLG), especially with unstructured text APPLICATION PROCESS: If interested, please provide an up to date resume and link to your GitHub or equivalent account for review. *Disclaimer All candidates that apply are requested to take a mandatory HackerRank test online and provide up to two references. 

The Opportunity Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor. Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes. If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you. About the course: We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers. As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers. Your responsibilities: As a mentor, you will: Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life Meet with each of your students for 30 minutes each week via a video call Benefits: As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits: Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level. Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits. Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with. What we're looking for: You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling. You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries. You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team! Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientists summarize some of their favorite aspects of our team as: Having a direct impact on the company's success Collaborative, intelligent, and open team Mentorship, growth, and friendship Leader committed to challenging and growing team members Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you. Hiring Profile: Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D. Rigorous quantitative background Comfort with programming (ideally in Python and R) Intellectual curiosity balanced with humility Predictive modeling experience is preferred

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team! Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current  Data Scientist team  summarize some of their favorite aspects of our team as: Having a direct impact on the company's success Collaborative, intelligent, and open team Mentorship, growth, and friendship Leader committed to challenging and growing team members Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not We are looking for a  Machine Learning Engineer  that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you. Hiring Profile: Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable) Interest in helping other data scientists improve code quality in addition to conducting independent analyses Experience optimizing models for memory and speed Knowledge of machine learning and statistics or a strong desire to learn 2+ years of professional experience as a data scientist or software engineer  

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team! Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientists summarize some of their favorite aspects of our team as: Having a direct impact on the company's success Collaborative, intelligent, and open team Mentorship, growth, and friendship Leader committed to challenging and growing team members Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you. Requirements: Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D. Rigorous quantitative background Comfort with programming (ideally in Python and R) Intellectual curiosity balanced with humility Predictive modeling experience is preferred

Consumer Insight, Measurement & Analytics (CIMA) is part of the Marketing & Sales center of excellence for Disney Parks, Experiences and Products. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discovery, planning, transacting, and management to enable decision making and optimization. The Travel Operations Analyst will provide measurement and analytical support for contact centers at Walt Disney World. He/she will partner with operations leaders to evaluate the performance of existing processes and develop measurement plans to evaluate new strategies and technology designed to improve the guest experience and drive business results. In order to succeed in the role, the candidate must be comfortable working with partners, preparing recurring reporting, conducting both planned and ad hoc analyses, and communicating insights to stakeholders. This position reports to the Travel Operations Analytics Manager and has no direct reports. Responsibilities : Build, maintain, and distribute recurring contact center reporting Provide analytic expertise on contact center eCommerce teams (web chat, in-app messaging, email) Perform data discovery and documentation on new data sources Partner with Data Services teams to build automated processes and troubleshoot data discrepancies Develop monthly performance recommendations to support the variable pay program Provide analytical support to the contact center Project Development and Technology Solutions teams, measuring and interpreting the business impact of new initiatives and technology enhancements. Develop presentations that provide quantitative analysis and recommendations to stakeholders on assigned projects Basic Qualifications : 1+ years of analytical and data exploration experience Excellent problem solving skills with the ability to proactively identify and develop solutions to complex questions Proven ability to manage analytics projects from discovery through completion Understand how to derive actionable insights from data Excellent written and verbal communication skills Ability to maintain and grow relationships with partners/clients/team Proficiency with reporting, data visualization, and analytical tools such as Excel, SQL, Tableau, R, SAS, and/or Python Preferred Qualifications : Understanding of contact center and web metrics Experience using forecasting methodologies Demonstrated ability to apply statistical rigor to analysis Understanding of chat and messaging technology Experience in text mining, sentiment analysis and/or natural language processing Required Education : Bachelor’s degree in an analytical/quantitative field Preferred Education : Graduate degree in an analytical/quantitative field

The  Web Analytics Technical Implementation Manager  will play a key role in ensuring proper tagging and reporting set-up to support our clients in accurately measuring the success of their digital assets, platforms and campaigns. This person will be a  subject matter expert  on analytics implementation and testing. One of the primary responsibilities of this role is to implement and validate Google tagging including technical configuration in Google Tag Manager – ensuring that tags fire properly and data flows so that reporting accurately captures the desired actions and behaviors. This position can be remote. Full time direct or ongoing contract options. Experience and Responsibilities Proven track record of success with Implementing and managing Google Analytics tagging and configuring Google Tag Manager including but not limited to strong understanding of: data layers, tagging, variables, custom metric set up Leads initiatives focused on implementation, customization, automation of data collection processes Assure proper tracking implementation through an established QA testing process Review data trends post-implementation to confirm accuracy and identify anomalies Experience tracking behaviors and customized journeys Experience working with customer experience platforms and/or marketing automation Experience working with 3rd party trackers (DMC,LinkedIN, FB, Twitter, etc) Maintain | Modify | Create Tableau dashboards for various business units Assist Analytics in automating reporting and data requests (experience with API a plus – Python, R, SQL) Validate and troubleshoot tagging & tracking issues as they occur – communicating status/next steps until resolution with all relevant stakeholders Work with internal teams & partners in support of tagging needs/management (approvals) for eComm reporting, Paid advertising, testing (Optimize), etc. Create and maintain tagging documentation (~20%) Quantitative mindset, with a desire to work in a digital data-focused environment Savvy with respect to technical concepts and workflows that underpin digital analytics, such as debugging tools (Charles or Firebug), first- vs third-party cookies and data encryption Sample Tasks Work with team on updating to hidden form fields and changing origins in both parent page and iframes Fix decoding for Silverpop to reference Base64 code Push decode SP value to GTM data layer Provide recommendations on ReadyTalk API Completed POC for send GA hits via Measurement Protocol API and Silverpop Removed JS errors from GTM Save cookie IDs to rsaconference.com domain Grap SPs visitor Id and pass it on to GA/GTM custom dimension Update GA custom dimension configuration for all properties Test importing data from Silverpop using GA UID as key