Data Jobs in Los Angeles

Universal Music Group is seeking a talented Sr. Business Analyst to join our Data Science Technology team. The BA will be a part of the Data Analytics Technology team and will work across our data technology team and other UMG business teams to analyze, document and develop data and advanced data science, machine learning, artificial intelligence requirements that deliver against several key UMG business goals. The BA/PM is typically assigned projects with a high degree of complexity. She/he must be able to use her/his individual judgment and initiative on all assignments with the minimal level of supervision/direction. She/he is able to independently coordinate many diverse and complex activities to accomplish a goal. The BA/PM is able to develop new models as needed, for processing and presenting data to drive compelling real-time analytics and user experiences. In addition, this individual will assist with the development and implementation of business processes and tools as well as the establishment and integration of measures, metrics, thresholds, and targets to drive performance in alignment with business needs and corporate objectives.

Most of your time will be spent operating as an independent contributor searching for publicly available data and using it to create market intelligence to support sales and proposal efforts. You will also spend time developing pricing for unique engineering services requested by our customers. At the end of the day, you are a highly analytical and independent person with high analytical aptitude—relentless in finding the right solutions. The work we have will require your capability to strategize while communicating to a wide audience (oral and written forms).

The Strategy Coordinator is a critical part of the Strategy team and will help manage administrative functions across the team, as well as across other Apeel teams in house. This role provides unique daily challenges and is ideal for someone looking for opportunities to work hard, learn on the job, and gain a deep insight into the inner workings of Apeel’s business function.

Develop statistical and financial models related to parcel shipping. Work cross functionally to aggregate data and conduct service level, cost and transit analysis on the aggregate and unit level information. Determine areas of improvement for inbound and outbound parcel shipping. Create a world class shipping model for identifying areas of need, holes in service offering, and impact to contract changes. Lead the budgeting and contract negotiation framework, assisting Operations leadership in vendor negotiation. Partner with Marketing, Product and Business Development teams to challenge the status quo and adjust expectations to meet business needs. Interface with product and engineering teams to design, develop and continually improve internal systems. Create fast and accurate communication loops to allow Customer Support and Retail teams to communicate issues, problems and needs for quick and quality resolution. Audit vendor invoices for errors and opportunities, partnering with accounting teams to resolve. Work with Data and Engineering teams to create a reliable, consistent, and rich data set for inter-company reporting.

·       Work with business owners and data architects to formulate hypothesis and discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products and customer experience. ·       Apply data mining and/or machine learning techniques, doing statistical analysis, and build high quality robust forecasting, prediction and recommendation systems integrated with our products. ·       Gather data insights related to user behavior, product usage, audience segmentation, social media, marketing response, quality of services, and media consumption to drive business decisions. ·       Select features, build and optimize classifiers, recommendation systems, predictive scoring models and forecasting systems using machine learning techniques, data mining using state-of-the-art methods. ·       Extend/augment company’s data with third party public/proprietary data sources of information when needed. ·       Enhance data collection procedures to include information that is relevant for building analytic systems. ·       Process, cleanse, and verify the integrity of data used for analysis. Create automated anomaly detection systems and constant tracking of its performance. ·       Perform ad-hoc analysis and presenting results and make recommendations in a clear manner to technical and nontechnical audience.

We are looking for a Data Scientist to discover the information hidden in our data, and help us make smarter decisions to deliver better business outcomes. Your goal will be to use data to predict demand, shorten our replenishment cycles and lower inventory level. You will be applying data mining techniques, doing statistical analysis, and building high quality prediction systems. You will be working on projects such as demand forecasting, inventory replenishment, pricing , product testing, product attributes, flexible inventory, and supply chain optimization focused on speed improvements.

You know and love working with analytic tools, have a strong working knowledge of SQL, and can use your technical skills and creative approaches to solve unique problems and answer important questions. You also have a passion for e-comnmerce data and analytics, and have experience working with merchandising, planning and supply chain. Tamara Mellon is looking for someone who is always curious and has a passion for data and providing insights. As a member of the Analytics and Data Science team, you’ll partner closely with business stakeholders to provide insights and inform data driven strategies and actions through high-quality and timely analysis.

You know and love working with analytic tools, have a strong working knowledge of SQL, and can use your technical skills and creative approaches to solve unique problems and answer important questions. You also have a passion for e-comnmerce marketing data and analytics, and have experience working with marketing, paid media, CRM, digital and social media data. Tamara Mellon is looking for someone who is always curious and has a passion for data and providing insights. As a member of the Analytics and Data Science team, you’ll partner closely with marketing leadership and stakeholders to provide insights and inform data driven strategies and actions through high-quality and timely analysis of our marketing channels and campaigns.

We’re looking for a Revenue Operations Business Intelligence Engineer to lead analytics projects from discovery and data validation to modeling, visualization, and insight. In this role, you’ll use your multitasking and collaboration skills to solve complex problems with company-wide impact. Procore is building a best in class enterprise SaaS ecosystem, and your work will help drive efficiency and strategic decision-making across the organization.

We are currently seeking a Fraud Analyst to join our Compliance team.  The Fraud Analyst will play a pivotal role in ensuring the integrity of our user base by analyzing and reporting user information and activity across a wide variety of compliance policy protocols, including, but not limited to, fraudulent activity on our site.

In collaboration with the product management team, the Analytics and Optimization Manager will direct the collection and reporting of all product analytics, as well as manage all A/B testing and optimization efforts. The ideal candidate is passionate about all things data and takes pride in collaborating with the product owners to deliver actionable insight, driving the future roadmap.

As a Senior Data Scientist, you’ll be building the next generation logistics platform that leverages our unique marketplace structure, enormous trove of data, and cutting edge research to provide a world class service for businesses across the nation. Since we own the entire stack of fulfillment, we are flexible enough to build any moonshot ideas that you can dream of. Your goal is to redesign the way that freight is moved for the internet age. 

Define and track key business metrics; design reports and analyses to monitor and understand them. Perform deep-dive analyses leveraging advanced analytical techniques. Become the subject matter expert for data and analytics embedded within one or more of our business units (content, product, marketing, ads, finance) to ensure accurate and proper interpretation of core business metrics and consumer behavior. Clearly communicate insights and recommendations to key stakeholders.

Guiding future culinary decisions by measuring how our customers interact with our menus. Determining optimal operational, digital, and marketing strategies by designing and running experiments. Improving customer loyalty by creating and reporting on key customer engagement metrics. Boosting data team efficiency by building new and optimizing existing ETL processes. And plenty more (we have a big backlog)....

The Data Analyst, Patient Engagement develops key product and business insights for our clients and internal teams, focused on Patient Engagement. In this role, you’ll work directly with Customers, Vendors, and Partners, as well as internal Product, Data Engineering, and Customer Success teams. You will drive WELL’s data-driven analysis of ROI, best practices, and patient experience goals. You will be working with a rich data set drawn from 100s of millions of patient interactions across the United States.

The Senior Data Engineer works on the back-end of our platform, focused on building data pipelines to that power our Candidate Recommendation Engine (CRE) and other aspects of our business. This work is often done with Python and intersects with the core backend that is written in Go; knowledge of both would be preferable, but Python is required. All Data Engineers should follow our engineering standards, including a commitment to unit-testing and to SOLID design principles.

At VideoAmp, we are looking for a Senior Data Engineer who will be responsible for supporting our engineer team. You are passionate about all things data and tech, and have extensive knowledge of the digital space. You are accomplished in the areas of data engineering and you are ready to support the strategic objectives of a highly functional organization. This role would be based in our Los Angeles office.

As a member of our Data Science team, you will be a fundamental force in shaping our company’s data strategy innovating the $85B digital and linear television advertising market. Your work will have an outsized impact on tools we’re building forecasting, planning, allocation, and audience behavior prediction. Work with Pb-scale data sets representing the total US video and TV audiences. You will build new, and support scaling out existing models in support of audience segmenting. You will be working with the data-engineering team to productionize ML pipelines and coordinating data models with other engineering teams.

FabFitFun is seeking an innovative and self-driven Senior Data Engineer to join our growing Data Engineering team for building a scalable and modern data warehouse and business-driven data products. This Senior Data Engineer will partner with existing BI/Data Science teams to develop critical data pipelines for making real-time decisions and business recommendations. The ideal candidate would have a passion for and knowledge of data engineering, big data, distributed/cloud computing and have a proven track record supporting and fulfilling the strategic objectives of a highly cross-functional organization

System1 is looking for a driven data analyst with the ability to work with our Ad Operations team. As a member of this data analysis team, you will drive System1’s analytics initiatives forward, provide insights into our business operations, and work with the product team to spearhead data-driven decisions.