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Top Senior Data Scientist Jobs in Los Angeles, CA
As a Senior Data Scientist at Cash App, you will analyze large datasets to derive actionable insights, partner with cross-functional teams, and enhance customer experience through statistical modeling and data visualizations. You'll also design A/B tests, process data, and contribute to product features in the Financial Platform organization.
The Senior Data Scientist in Ad Sales will analyze large datasets to derive actionable insights, conduct statistical modeling, and design A/B experiments. The role involves collaboration with product teams and engineering to enhance data sources and build visualizations to assist in strategic decision-making.
The Senior Data Scientist will lead analysis and provide strategic insights focused on fulfillment and operations at Babylist. Responsibilities include data ownership for inventory planning, developing data products and reports, collaborating with cross-functional teams to drive decisions based on data, and troubleshooting operational issues with data-backed recommendations.
The Senior Data Scientist will analyze large datasets to optimize marketing efforts and measure their impact through A/B testing. Collaborating with cross-functional teams, this role involves building predictive models, tracking campaign results, and creating data-driven insights for the marketing organization.
The Senior Data Scientist will develop and deploy systems utilizing LLMs for various applications, focus on video search for media and public sector use, and drive AI projects from conception to execution, evaluating model performance and communicating insights to stakeholders.
As a Senior Data Scientist in Acquisition Marketing at Cash App, you will analyze large datasets, optimize marketing efforts through modeling, and communicate complex insights to influence the marketing strategy. You will collaborate with various teams to enhance user acquisition and improve marketing performance.
As a Senior Data Scientist at Snap Inc, you will apply your quantitative analysis, data mining, and statistical modeling expertise to provide actionable insights for business and product decisions. Collaboration with cross-functional teams and conducting machine learning analyses to optimize product performance are key responsibilities.
The Senior Data Scientist will collaborate with engineering and product teams to analyze and optimize business growth through customer behavior insights. Responsibilities include developing customer journey metrics, conducting deep analyses, creating segmentation strategies, tracking trends, and collaborating across teams to drive revenue and improve experiences.
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The Senior Data Scientist will leverage analytical skills to drive insights into user behaviors and product strategies. Responsibilities include conducting research, designing experiments, defining key metrics, collaborating with cross-functional teams, and mentoring team members. The role aims to empower product teams with data-driven recommendations.
As a Senior Data Scientist at Thumbtack, you will analyze data to influence business strategies, establish KPIs, and assess the impact of projects. You will leverage statistical techniques and collaborate with various teams to enhance operations and optimize performance through data-driven insights.
The Sr Marketing Data Scientist will apply statistics and machine learning techniques to improve data-driven marketing strategies at The Walt Disney Studios. Responsibilities include developing and interpreting models to forecast business outcomes, optimize marketing performance, and troubleshoot media measurement problems. The role requires collaborating with stakeholders to design data-driven solutions and overseeing the execution of A/B tests.
The Product Data Scientist (Senior Customer Success Lead) role involves leading client engagements, developing advanced algorithms, performing data modeling, and delivering actionable insights to tackle complex business challenges. It requires collaborating across teams, managing stakeholders, and mentoring junior members while focusing on sustainable and profitable client engagement outcomes.
As a Senior Data Scientist at Launch Potato, you will develop and deploy machine learning solutions to enhance customer personalization and optimize monetization. You will collaborate with cross-functional teams, mentor junior data scientists, and own high-impact machine learning initiatives to drive measurable business outcomes.
The Senior Data Scientist will develop and deploy machine learning models to enhance personalization, optimize monetization, and improve lead quality. Responsibilities include building scalable ML solutions, collaborating with various teams, mentoring junior scientists, and identifying high-impact ML opportunities within the organization.
The Senior Data Scientist will manage and analyze large data sets, develop statistical models and machine learning algorithms, and provide insights to enhance business growth across retail operations. Responsibilities include collaborating with cross-functional teams and communicating complex insights to non-technical stakeholders.
The Data Scientist will apply statistical and machine learning techniques to enhance the Square Point of Sale product through data analysis and collaboration with key stakeholders to make informed decisions. The role involves generating insights, operationalizing metrics, and developing resources for data access to empower the team.
The Lead Data Scientist will develop machine learning models, conduct statistical analysis, analyze user behavior, and create visualizations to provide insights. They will collaborate with stakeholders and other data teams to improve data modeling, visualization, and architecture.
As a Data Science Associate Consultant, you will develop advanced algorithms, utilize technical skills for statistical analysis, collaborate with clients to communicate findings, and engage in research support and mentorship for junior team members.
As a Data Scientist on the Square Point of Sale team, you will leverage statistical analysis, machine learning, and data engineering to support decision-making and strategic insights for a new unified point of sale product, enhancing seller value and operational metrics through collaboration with cross-functional teams.
As a Data Scientist at Snap Inc, you will apply expertise in quantitative analysis and statistical modeling to provide actionable data insights. You will collaborate across teams to drive product decisions, develop metrics to analyze performance, and create reports to communicate insights effectively.
In this role, you will design and maintain data pipelines, implement data orchestration tools, collaborate on AI solutions, and support analysts in creating data products and dashboards. You will also focus on data governance, develop predictive models, and manage the analytics tech stack.
As a Data Science Manager, you will lead the development of innovative ML-based enterprise products, architect AI-enabled data solutions, and engage with clients. You will manage a team of scientists and engineers and drive strategic initiatives, while applying expertise in advanced algorithms and addressing complex business problems.
As an AI & GenAI Data Scientist at PwC, you'll utilize machine learning, analytics, and software engineering to develop AI solutions for clients. Responsibilities include predictive modeling, statistical analysis, data visualization, leading projects, and collaborating with teams to solve complex business issues through insights derived from large data sets.
The Data Scientist at Snap Inc. will deliver impactful data insights through quantitative analysis and statistical modeling. Responsibilities include collaborating across teams to optimize products, tracking core metrics, and creating visual reports. The role requires expertise in identifying product trends and driving projects to completion with minimal guidance.
As a Staff Data Scientist at Square Banking, you will leverage data solutions to shape strategies that expand credit eligibility and enhance loan profitability. You will work collaboratively with various teams to launch experimental loan products and define success metrics for product optimization. The role requires building expertise in loan architecture and influencing product direction based on analytical insights.
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