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The Data Scientist will collaborate closely with product, operations, engineering, data science, and clinicians to provide best in class analysis of oncology care pathways and contribute to technical product requirements with supervision from senior scientists.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field.
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Our investment ecosystem and scale allow alternative investors to partner with world class investment research experts across fundamental equity, credit, fiscal/monetary economics, derivatives, rates, risk, data science, climate, sustainability, and many others.
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At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Health Care Professional degree required (e.g., RN/BSN/MSN, NP, PharmD) and 8+ years of pharmaceutical industry experience in drug safety & pharmacovigilance as a Safety Scientist for products in the clinical trial and post-marketing environments or MD with 4+years of clinical experience and 6+years of pharmaceutical industry experience in Safety Science, Clinical Development, or Clinical Research is preferred.
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Prior experience integrating Snowflake and Databricks Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions ( Eagle, State Street Alpha platform) Prior experience in data science/AI/BI tools.
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A minimum of 7 years of experience in data science, engineering and bioinformatics in the life sciences. Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
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Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning. Expertise in using Databricks platform on AWS for data processing and analytics.
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Hands-on experience with Implementing Hadoop applications (, configuration management, monitoring, debugging, and performance tuning)-Previous experience with any of the RDBMS (Teradata, DB2, MySQL, SQL Server) Required Education: BS in Computer Science is a plus, but not a must.
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The CFD Post-doctoral Fellow will have doctoral level expertise and an ongoing research and/or artistic project related to critical displacement studies, border studies, migration studies, health and wellness of migrants and asylum seekers, or similar fields within disciplines including but not limited to cultural studies, political science, international relations, sociology, anthropology, engineering, or public health.
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Educational Outreach: Collaborating with the Head of Tokenization Platform Strategy, and the FDAM investment research, data science and digital asset strategist teams in conducting educational sessions and workshops to enhance awareness and understanding of tokenization concepts and asset tokenization models and token economics.
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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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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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data science jobs Title: data scientist Company: Jerry in Boston, KS, Nevada
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