Top Remote Data & Analytics Jobs in Seattle, WA
The Data Scientist at PwC will collect domain context, define hypothesis and prediction tasks, develop models, validate and test models, produce pipelines for automation, and communicate insights with stakeholders. Additionally, the Senior Manager will work on problem-solving, coaching, stakeholder management, technical advice, and global team engagements.
Seeking a Data Scientist to analyze user behavior, drive business decisions, and optimize revenue for a SaaS company. Responsibilities include customer journey analysis, segmentation strategies, trend identification, and experiment design. Requires 3-5 years of analytics experience with expertise in SQL, statistical analysis, and multivariate experiments. Strong communication skills and proficiency in programming and statistical packages are preferred. Salary ranges from $123,800 to $209,300 annually.
Senior Machine Learning Engineer role at Square focusing on developing cutting-edge ML models and algorithms for company-wide metrics and GTM channel attribution. Responsibilities include building data science and ML solutions, partnering with stakeholders, and staying updated on advancements in the field.
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Senior Machine Learning Engineer specializing in data-driven attribution to fuel Square's growth. Responsible for building machine learning solutions for the next generation attribution system, collaborating with stakeholders, and staying updated on advancements in ML and data science.
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In this role, you will partner with key stakeholders in Product & Finance teams to uncover, size, prioritize and implement opportunities to improve business performance.
Responsible for threat intelligence by reviewing, maintaining classifications, submitting IOCs, and defining automations. Evaluate threat data feeds, research security threats, and collaborate with data scientists to create machine learning models. Act as a subject matter expert for internal teams and develop strategies for false positive controls and product efficacy.
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The Sales Engineer (SE), Data & Analytics, is responsible for working closely with the Growth Leadership team to drive Point B’s success across their portfolio of strategic customers. They are responsible for growing and managing sales and offering development for Data & Analytics offerings across industries, prioritizing Healthcare Payer and Provider, Consumer Goods, Retail, and Manufacturing. The role includes identifying client opportunities, crafting tailored solutions, leading pursuit teams, delivering presentations, producing thought leadership, and supporting demand generating activities.
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The Senior Digital Strategist will be responsible for developing strategic concepts and cross-channel communication experiences. They will conduct data-driven analyses and research, provide recommendations for project scalability, and lead strategic content for client projects. This role requires at least 5 years of professional experience in strategic planning or a multimedia agency, as well as a data-driven and user-centric mindset.
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