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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline. Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
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Our department has primary responsibility within UCSF for delivering training in the methods of epidemiology, biostatistics, health data science, public health, and health services research.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc.
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Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.) 3+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI, etc) Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.
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We are looking for an experienced Senior Data Science Manager to lead our talented team of Data Scientists responsible for count algorithms. Comprehensive knowledge and hands-on experience in 3D data analysis and machine learning algorithms.
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They will work with a multidisciplinary team that includes data scientists, molecular biologists, clinical laboratory scientists, and physicians to support key company objectives that include automation and process optimization of the UroAmp assay pipeline, expansion of UroAmp-supported drug trials, and development of novel NGS assays and applications.
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Faculty in Science & Math who teach Environmental Practices courses are dedicated to helping students understand and appreciate the natural world, and how to work toward sustainability within the framework of the scientific method.
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You will handle everything from backend data ingestion and model training to creating intuitive front-end interfaces for data visualization and correction. Join a pioneering team focused on revolutionizing data-centric AI. As a Software Engineer (Full-Stack), you will develop innovative software systems to enhance data quality for various industries.
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In order to achieve net zero energy and net zero carbon, SFO actively tracks and aggregates utilities (e.g. water, gas, electricity), greenhouse gas emissions (GHG), and advanced energy asset performance data, among other data, in support of a decarbonized future.
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6+ years of experience working in data science, data engineering, software engineering, or MLOps6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.
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The Growth Data & Strategy team is responsible for building the vision, driving data-driven programs, and defining tooling strategies to increase Sales, Customer Success (CS), and Account Management (AM) teams’ efficiency and effectiveness and improve the experience of businesses that use Square’s ecosystem of products.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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data science jobs Company: Google Llc in San Francisco, Grove-city, Ohio
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