Best Data Scientist Jobs in Los Angeles

Position Overview Our data science team is expanding! The successful candidate will work with the data science and engineering teams on challenging projects in a variety of domains. Beyond Limits is a pioneering Artificial Intelligence company and a satellite of NASA's Jet Propulsion Lab and Caltech. Beyond Limits cognitive computing technology combines numeric and symbolic techniques to provide advanced solutions that go far beyond

As the Data Scientist, you will partner with product management, marketing, technology and engineering teams to elevate user insights, marketing analytics and decision science to the next level by focusing on modeling for machine learning and personalization. Data Scientists in this role get to work on unique problems and see the impact their work has on our users.

Aspiration is the first VC-backed neobank on a mission to be the leading consumer financial services brand and company focused on sustainability and the environment. At Aspiration, we created the category of sustainable, socially responsible retail consumer finance. We offer unique financial products to let people save, spend, and invest their money in ways that make them more financially secure and align with their personal values. Unlike other

As a data scientist in this role, you will be a partner to the Analytics team, providing support for A/B test design and analysis as well as data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, and A/B testing as well as the ability to work in cross-functional teams to drive actionable insights. Experience with user growth and acquisition across consumer products is a plus.

Bring Creativity to Data products. Apply machine learning methods to a variety of finance and accounting problems. Responsible for building and maintaining the machine learning systems, data, platform and processes. Build, integrate and deploy machine learning solutions into the BlackLine application in collaboration with product management, cloud, engineering and data science teams. Perform qualitative and quantitative data analysis. Cleanse and transform raw data used in machine models. Perform data munging, data mining, clustering & classification methods, pattern recognition. Comfortable with statistics, calculus and multivariate analysis. Participate in ML POCs, validate the results and develop production implementations. Build and optimize scalable machine learning solutions in the public cloud.

ClickUp is looking for an experienced data scientist to join our mission and redefine how people work. We’re passionate about saving people time in every aspect of their lives - so they can focus on what they love most. It’s time to put data to work! You will help to make ClickUp’s suggestion and predictive algorithms best-in-class by advocating for and implementing process, tools, and systems. You will live and breathe internal business and

We’re looking for a Data Scientist to join Snap Inc! Working closely alongside the Platform Integrity team, you will help achieve a safe and vibrant platform for our community and partners through creating inventive, data-based approaches to solving difficult business problems. Working from our Los Angeles, CA headquarters, you’ll work to transform business questions into data analysis.

We’re looking for a Lead Data Scientist to join Team Snap! As a member of the People Tech team, you will provide insights through custom analytics solutions and visualizations. Working from our Santa Monica, CA headquarters, you’ll collaborate with the HR Technology and IT Teams to build robust solutions and analyses to help drive our business forward!

Partner with key business stakeholders at ServiceTitan, own end to end data analysis and modeling projects, create scalable data science solutions to support our growing business. Investigate new opportunities using machine learning, data mining, statistics or analytics. Build machine learning systems from the ground up, design scalable data science models, implement NLP solutions that help us perform better. Leverage insights gained from data into actionable business recommendations, develop systems and metrics to monitor our business at an in-depth level.

In this role, you will be the primary driver of all data science services and initiatives for our those products and possibly others down the line. These initiatives will include translating our business goals and ideas into data-driven features for our ~15 million users as well as helping determine how best to keep growing our global user base. We are looking for a talented problem-solver who thinks outside the box, is versatile but also delivers reliable and efficient systems.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy by offering a home for creative expression and an experience that is genuine, joyful, and positive. - Generate useful features from large amount of data - Apply supervised and unsupervised machine learning techniques, such as linear and logistic regression, decision trees, and k-means clustering - Develop segmentation models, classification models, propensity models, LTV models, experimental design, optimization models - Perform statistical analysis such as KPI deep dives, performance marketing efficiency, behavioral clustering, and user journey analytics - Curate audiences and inform engagement tactics to enable differentiated, relevant marketing touches across channels (social, email, in app, push) - Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences - Capture business requirements for data and analytic solutions and collaborate XFN to ensure business requirements align with business needs - Analyze creatives and surface insights that will help drive engagement and retention. - Support day-to-day collaboration with performance marketing to communicate insights and recommend data informed strategies

The Marketing Analytics team takes ownership of the decisions being made from our data – we develop a deep understanding of both the business and its data and establish close working relationships with all teams - starting with Marketing but also including Product, Engineering, and Finance – so that we can provide recommendations and make proposals regarding prioritization of initiatives, product launches, A/B tests, and company performance.