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5+ years of data engineering experience in product/support analytics and business operations. Bonus: Experience in leading engineering teams responsible for external data reporting.
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Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data–driven.
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Good familiarity with the principles of data science and data engineering. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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Experience in data entry, data cleaning & management, and data quality assurance. The Data Analyst at Trial Library will play an integral part in expanding access to cancer clinical trials by supporting the development of a clinical trial matching tool and pioneering pre-screening efforts in community oncology settings.
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You have at least 3+ years of work experience as a data scientist in an analytics role. We are looking for a Product Data Scientist to drive understanding of how our business and its products are scaling and performing.
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You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering. The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
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Tech Stack Optimization: You’ll manage and optimize our tech stack, including Redshift, dbt, and BI tools, to keep our data accurate and accessible. Data Expertise: Strong skills in data modeling and ETL processes, particularly with DBT.
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Our tech stack: We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services. Responsibilities: Leadership: Play a key role in engineering and product strategy, priorities, and culture.
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Is required by a respected and well-funded start-up in San Francisco in the cloud data security space to work in product engineering and deliver a massive scale platform reliably, securely.
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The Wealth Strategist / Client Development Sales Executive is responsible for cultivating new relationships with individuals, families, non-profit institutions and other entities. The Wealth Strategist / Client Development Sales Executive maintains ongoing contact with clients, promoting the enhancement and expansion of existing relationships.
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Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility. Proven track record with at least 10+ years of experience in data engineering, dataOps for a large-scale data platform serving multiple business lines and products, including hands-on design and implementation experience.
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Knows our tools and has used data platforms with SQL endpoints (Databricks, Snowflake), data visualization software (Tableau, Looker), and sales automation tools (Salesforce, Pardot.
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Extensive outside Sales experience in a technical sales environment, ideally from the integrated security, networking/data cabling and/or commercial audio-visual industries. Own the creation of your annual sales plan and develop your strategic approach for your market to increase sales in all company service offerings including integrated security, networking/data cabling, and/or commercial audio-visual.
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Preferred Master's degree or higher in Data Science, Computer Science, Applied Mathematics/Statistics, or Systems Engineering. A minimum of 8+ years of related experience in data engineering, machine learning, AI, data science, and technical leadership.
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data engineering sales jobs Company: Docusign in San Francisco, CA
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