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Job description To support its growth, Sia Partners is recruiting a Data Science Manager with strong expertise in marketing, client, and product challenges. Key ResponsibilitiesLeading Data Science Projects: Manage the delivery of data science projects, working across several clients in the US.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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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Experience developing data science pipelines & workflows in Python, R or equivalent programming languages. Advanced experience in data mining with a range of advanced technical tools (Python, R, Hadoop, Hive, SQL, Java, Spark, etc.
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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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Function as the MSA and Fintech conduit with VCA North America (Segment Leaders, Practices, Solutions, and Data Science) and teams outside of VCA (Account Executives, Product Teams) to drive integration across the solution lifecycle (planning, requirements, design, testing, commercialization, and rollout.
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Some of the key responsibilities include: Innovation: Develop Blue Matter’s capabilities in life sciences technology consulting – including data management, reporting and gen AI applications Innovation: Lead the integration of technologies like AWS, Azure, and GCP to build best in class proprietary life sciences data warehousing tools ensuring seamless data processing, governance and compliance for life science clients.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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PhD, ScD or DrPH in epidemiology, public health, biostatistics, health policy, data science/informatics, or a closely related field (MD with at least a master's degree in these disciplines may be considered.
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3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems. Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools.
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10+ years of experience in data engineering, data science, and software engineering. Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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Collaborate with cross-functional teams like Product Management, Data Analytics, and Finance to design systems that fit a broad range of data needs. Our data warehouse is built using tools like BigQuery, Airflow, and dbt.
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Make smart engineering and product decisions based on data analysis and collaboration. Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
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7+ years of professional experience as an optimization engineer or data scientist working on problems in wholesale energy markets, preferably bidding renewable energy assets. Plus Power's team applies an intentional mindset to energy storage development by using a data-driven approach to development and operations.
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Collaborate with cross-functional teams, including Design, Engineering, Product Marketing, and Data Science, to execute the product strategy. As Product Manager for the Invoices team, you’ll help build the strategy for how Square better serves Home & Repair sellers.
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The Leonetti group at the Chan Zuckerberg Biohub ( strives to map how the human cell is built by combining CRISPR, fluorescence microscopy, mass spec proteomics, robotics, software engineering and data science.
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data science jobs Title: product marketing manager in San Francisco, Sherwood, Oregon
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