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7+ years of data engineering experience developing large data pipelines. 3+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Lead Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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PhD in Statistical and Data sciences, Computer Science, Pharmaceutical Sciences, Engineering, or related fields with equivalent professional degrees. A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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In this position, you will be joining the data engineering team in an effort to take our data pipeline to the next level. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth and strategy of our data pipeline.
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Your experience at Sia Partners will be enriched by a(n): Entrepreneurial journeyCareer advocacy program that supports achieving professional development goals through guidance, and real-time feedbackContinuous learning & development opportunitiesDiversity, equity, and inclusion programs with an ever-growing list of global affinity initiativesJob DescriptionTo support its growth, Sia Partners is recruiting a Data Science Manager with strong expertise in marketing, client, and product challenges.
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Bonus PointsExperience working with very high-scale data infrastructure and toolingExperience with data products on Google Cloud Platform, Kubernetes, or AirflowFull-stack development or product engineering experienceThe US base salary range for this full-time position is $214,000 to $233,000 + equity + benefits.
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Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc. As the Growth Marketing Analyst, you will provide insights through the analysis of the vast amount of data captured by Quince, and develop actionable strategies that will help us allocate marketing resources to activities that yield the best results.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services. Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform.
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The next phase of Unity focuses on universal objects, where all objects—customer-defined data, first-party developer data, or third-party developer data—should attain the status of first-class citizens.
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We strive to map how the human cell is built by combining CRISPR, fluorescence microscopy, proteomics, robotics, software engineering and data science. Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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Experience analyzing and advising clients on US and international laws regarding content policies, youth safety, privacy and data protection, and/or trust & safety. - Partner with cross-functional stakeholders, including Product, Engineering, Privacy, Public Policy, Marketing, Comms, and Trust & Safety.
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This position is an individual contributor role reporting to the Sr. Director, Data Architecture & Engineering. Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
$165,800 - $265,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you’ll be embedded in the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring.
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You’ll manage the team that’s behind OpenAI’s data infrastructure that powers critical engineering, product, alignment teams that are core to the work we do at OpenAI. The systems we support include our data warehouse, batch compute infrastructure, data orchestration system, data lake, ingestion systems, critical integrations, and more.
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The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team. Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc.
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data engineering jobs Title: data Company: Jooble in San Francisco, Boynton-beach, Florida
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