About Haus Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, Baseline Ventures, and Haystack. What you'll do You will work on research and development with our Future Products team, building the next generation of causal marketing measurement tools. You will be an active contributor to the full product life cycle, collaborating with engineers, product managers, and designers from inception to delivery to produce high-quality experiences for our customers. The ideal candidate will be a hands-on economist/applied scientist, excited to both develop new methodologies and directly implement and deploy them via scalable software solutions. You're an executor and are able to use strong judgment and clear, succinct communication to drive the right decisions to deliver on an ambitious roadmap. If you are a builder who loves the idea of redefining and pushing the boundaries of causal marketing measurement, then let's talk. Responsibilities <ul><ul><li>Partner with engineering teams to build and deploy causal models into production</li><li>Leverage existing literature and develop new science in the causal marketing measurement space</li><li>Help drive product roadmap by clearly advocating for rigorous scientific solutions to customer pain points</li><li>Support customers using new products post-launch</li></ul></ul> Qualifications <ul><ul><li>MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience</li><li>2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments</li><li>Experience in causal inference and machine learning</li><li>Experience in experimental design and analysis</li><li>Experience in Python and SQL</li><li>Experience coding and troubleshooting models built for deployment</li></ul></ul> Nice to have <ul><ul><li>Experience in hierarchical / mixed effects models</li><li>Experience working in a startup or high-growth environment</li><li>Experience with growth marketing, marketing measurement, or advertising platforms (e.g., Google, Meta, TikTok)</li></ul></ul> About you <ul><ul><li>Done is better than perfect - you take small exploratory steps rather than large precise leaps toward solutions.</li><li>Act like an owner - you share responsibility with the team and do what you can to achieve success. You thrive in ambiguity and find ways to structure unstructured problems.</li><li>Experiment - you try new ideas rather than repeat known formulas.</li></ul></ul> What we offer <ul><ul><li>Remote friendly, hybrid compatible - we are hiring in our science hubs (Seattle, Bay Area, Silicon Slopes area of Utah), but we are remote friendly with optional weekly in-person days at a hub's local Wework </li><li>Competitive salary and equity</li><li>Unlimited PTO</li><li>Top of the line health, dental, and vision insurance</li><li>401k plan</li><li>Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)</li></ul></ul> $150,000 - $180,000 a year The salary range for this position is expected to be $150,000 - $180,000. Salary ranges are determined by role and level, and within the range individual pay is determined by additional factors including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits. Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About the teamThe e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.We are actively seeking an Applied Scientist to join our Global E-Commerce Alliance Team. This role is centered on developing and implementing innovative machine learning solutions for our recommendation systems in E-Commerce business. The successful candidate will work closely with cross-functional teams, providing expert insight and influencing critical decision-making across multiple areas of our business.The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.Responsibilities:- Collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our recommendation systems.- Utilize the ML, NLP, and CV techniques to deal with real-world signals generated from products, creators, merchants, e-commerce transactions, and so on.- Design and deploy the large recommendation model, in the online learning manner, to serve billions of queries and products.- Formulate end-to-end machine learning models for recommendation systems, ensuring their efficient and effective operation.- Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.- Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.- Stay abreast of the latest advances in machine learning and recommendation systems, integrating this knowledge into your work.- Clearly communicate complex technical concepts, methodologies, and results to a diverse audience, influencing decisions based on your findings.- Adhere to stringent data governance and privacy protocols, ensuring all user data is handled responsibly and ethically.In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.Qualifications- PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.- Solid experience in machine learning, deep learning, data mining, or artificial intelligence.- Proficient in programming languages such as Python, C++, Java, or similar.- Deep understanding of recommendation algorithms and personalization systems.- Excellent problem-solving and analytical skills.- Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.Preferred Skills:- Experience with reinforcement learning techniques.- Proven modeling/algorithms competition records on Kaggle or top conferences challenges.- Proven programming competition records on ICPC, IOI or USACO.- Experience working with recommendation systems, computational advertising, search engine, E-commerce recommendation systems.- Publications in machine learning or related conferences or journals are highly desirable.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at usds.accommodations@tiktokusds.comThis role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.Job Information:For Pay TransparencyCompensation Description (annually) The base salary range for this position in the selected city is $145000 - $355000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidates qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.#J-18808-Ljbffrby Jobble

Applied Scientist Jobs in Mountain View, CA

Applied Scientist Future Products
April 26, 2024

Machine Learning Engineer Applied Scientist Recommendations Ecommerce Alliance Usds
April 21, 2024

Senior Applied Scientist
April 5, 2024

Quick filters

Top companies

Applied Scientist Jobs in Mountain View, CA

Applied Scientist Future ProductsApril 26, 2024

Machine Learning Engineer Applied Scientist Recommendations Ecommerce Alliance UsdsApril 21, 2024

Senior Applied ScientistApril 5, 2024

Quick filters

Top companies

Applied Scientist Future Products
April 26, 2024

Machine Learning Engineer Applied Scientist Recommendations Ecommerce Alliance Usds
April 21, 2024

Senior Applied Scientist
April 5, 2024