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We are seeking a highly skilled Principal Data Scientist who can perform and advise on technical analyses across the spectrum of research areas engaged by Pearl’s Data Science and Analytics team.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Bachelor's degree in Computer Science with focus on data engineering preferable. Document those improvements by producing reports on data quality, trustability, observability to inform the team and the management on our operations and data KPIs.
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As an Environmental Field Inspector, you will work with a lead consultant to provide a comprehensive assessment of our client's properties by collecting property data on mobile devices and uploading to cloud-based software.
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Provide on-site technical support of automation platforms. Experience with statistical data analysis using R or JMP, monitoring data quality and troubleshooting technical problems.
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Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect.
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We are a focused team of data and technology professionals who work in an agile framework to deliver timely and on-demand solutions and frameworks. You will work on a variety of projects focused on different aspects of the investment process, including data loading, research tools, and model analytics.
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We are AmericInn by Wyndham, Baymont by Wyndham, Days Inn by Wyndham, Dazzler by Wyndham, Dolce Hotels and Resorts by Wyndham, Esplendor Boutique Hotels by Wyndham, Hawthorn Suites by Wyndham, Howard Johnson by Wyndham, La Quinta Inns & Suites, Microtel by Wyndham, Ramada Encore by Wyndham, Ramada Worldwide by Wyndham, Super 8 by Wyndham, The Trademark Collection by Wyndham, Travelodge by Wyndham, TRYP by Wyndham, Wingate by Wyndham, Wyndham Garden, Wyndham Grand and Wyndham Hotels and Resorts.
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Hands on experience and/or real world projects in Artificial Intelligence / Machine Learning algorithms is a strong plus. Python, R, SAS/SQL, Stata, etc) Very good communication skills (both verbal and written) as well as solid project management skills and ability to multitask.
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Data science and data mining background with special emphasis on MS SQL, R, Python. If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.
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The US Segment Sales and Marketing Advanced Analytics team is seeking a highly skilled and motivated Senior ML Engineer with a strong focus on developing end-to-end data science solutions to accelerate and optimize sales efforts.
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Free on-site amenities including office snacks, coffee barista, beer & wine. Excellent project management demonstrated by ability to organize workstreams, estimate effort and deliver on timelines.
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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Continuously evaluate new cloud technologies and data processing frameworks to enhance the feature store's capabilities, including integration with Azure-based services like Azure Data Factory, Azure Databricks, and others.
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Special Initiatives at Boston UniversitySpecial Initiatives (SI) is focused on securing leading philanthropic gifts in support of select University priorities, including the Center for Antiracist Research (CAR), Computing and Data Sciences (CDS), the Center for Emerging Infectious Diseases Policy & Research (CEID), the Institute for Sustainable Energy (ISE), and the National Emerging Infectious Disease Laboratory (NEIDL.
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Minimum of 8 years of experience in computational biology or bioinformatics, with a focus on oncology and/or immunology. Design and implement computational workflows for analyzing high-throughput omics data (e.g., genomics, transcriptomics, proteomics.
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on site data collection jobs Title: project in Boston, Bentonville, Kansas
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