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Familiarity with data tools such as Snowflake, BigQuery, Tableau, Looker, Mode, dbt, and Fivetran. Secoda makes the experience of exploring and using data as intuitive, fast, and useful as using Google Search.
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Virtualization and containerization (VirtualBox, Docker, Containers, KVM) experience and AWS, would be a big plus. Responsible for delivery of application technology solutions and data information planning efforts.
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2+ years experience managing a team of data scientists and working with Marketing functions and associated data science projects, including but not limited to Lead Scoring (ML models), Multi-touch Attribution (MTA), Media Mix Modelling (MMM), Spend Optimization, Life-Time Value Modelling (LTV), and Return on Ad Spend (RoAS.
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Strong analytical skills: you nerd out about data, can quickly structure analyses to answer key business questions to drive decision-making, and will also have perspectives on building the right data architecture.
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We are a multi-cultural and decentralized team with a deep passion for bitcoin, crypto and Defi. We are objective oriented and everyone contributes to data analysis to drive business growth. Product managers collaborate across business units and align user research, design and UX writing, brand and marketing, technical project management and engineering, testing, data, compliance and legal teams.
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We are looking for ML Engineers of all skill levels or experienced engineers from other disciplines who may be looking to make the move to a big data environment. As an ML Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data.
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Manage and implement all core-funded activities and buy-ins in accordance with USAID regulations, policies and procedures related to data, research, evaluation, learning and the SOW specifications.
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Experience with topics related to big data engineering such as data streaming, pipeline optimization, deployment, and data security. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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You’re proficient in data visualization using Excel or other similar tools (Experience with SQL and Tableau a plus) Team player who is willing to get your hands dirty and help out where needed to get the job done - no job is too big or too small for you.
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Requirements: Prefer candidates currently (or recently) at a Senior level or above with a Big-4, national, or large local CPA firm. CPA Firm Audit Managers and Seniors - Hybrid living close to the office is preferred - Fully Remote Home Based is available for candidates living in the PST or MST time zones.
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Well established, highly profitable CPA firm offers several exceptional career opportunities for Audit Managers and Seniors to work hybrid from both our office and your home with flexible hours. Minimum of 2 years of hands-on experience with a U. S. based CPA firm.
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We offer a very reasonable work / life balance, diverse SEC and closely held clients in numerous industries to work with, fast track promotions, and above market compensation packages. Enter your email below to sign up to receive our monthly newsletter.
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Experience interpreting and analyzing telematics data, using Python, SQL, Tableau or other tools to perform calculations and visualize data; Experience developing or manipulating computer software to parse and process low-level data.
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Proficient in statistically rigorous design of experiments and data analysis using R, Python, JMP, Excel or similar. Strong understanding of NGS methods, library preparation and data interpretation.
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This could not be fulfilled without Ipsos’ diverse employees who compile and analyze this data—they are the essence of who we are and what we do. Become a trusted advisor to clients by understanding their big picture strategy and day to day needs.
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big data jobs Title: devops engineer Company: Inc in California, MO
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