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As a Data Science Senior Manager at TRM, you'll assume full responsibility for developing custom models, algorithms, and data products integral to enhancing TRM's UX. Working closely with a skilled team of engineers, data scientists, and research scientists, your objective will be to unearth valuable and defensible insights essential for detecting, preventing, and mitigating cryptocurrency fraud and financial crime.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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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.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Education: Bachelor's degree in Molecular Biology, Biology, Chemistry, Applied Mathematics, Physics, Electrical Engineering, Computational Biology, Biostatistics, Bioinformatics, Computer Science or related discipline; postgraduate degree (Master's, PhD) is highly preferred.
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Requires an MPH, MBA, MS, MA, RN, or RHIA in health science, quantitative social science, public health, health services research or business, or BA/BS with demonstrated equivalent work experience.
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We are seeking a highly skilled Director of Data Science & Analytics to shape our company's data-driven decision-making. A track record of designing and executing data science roadmap and delivering data products and insights that influence engineering and business decisions.
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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.
$297,200 a yearTemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with GIS, remote sensing, or other data science tools. This is a significant leadership opportunity to advance ERW science, scale CDR and drive sustainable agriculture practices that positively impact local farming communities.
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Because of our unique growth model of using a global network of Orb Operators to give a free share of Worldcoin to everyone on Earth, we require a high-performing Data Science team that is able to manage and analyze large amounts of data generated by our products and operations.
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Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) As a Data Scientist in Trading Operations, you will be embedded in the Quantitative Trading Strategy team.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
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Support the Data Science team in deploying novel algorithms along with optimizing existing machine learning systems to maximize their value and increase consumer satisfaction at every brand touchpoint.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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A bachelor's degree or master's degree with 3 years of experience in a related field such as computer science, molecular biology, biochemistry, genetics, genomics, or chemistry. Conduct exploratory data analysis in python and Databricks in order to answer questions from internal stakeholders.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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science data jobs Company: Uc San Diego in Oakland, CA
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