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Experience with qualitative and quantitative research (data collection, data entry, analyses, etc.) Strong methodological research and analytical skills (e.g., experience using a data analysis platform like Dedoose, SAS, STATA or R.
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The modern data stack building includes consolidation across multiple applications (like Salesforce, SAP, Oracle, IBM, AWS, Azure, GCP, Databricks, Qlik, Power BI) at scale (Terabyte to Petabyte volume, 10M+ customers/users.
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Our materials science team works closely with product management, hardware and software teams to develop new materials that push the boundaries of what can be done with 3D printing. Have solid understanding of the fundamentals of materials science and polymer development.
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What You’ll BringMaster's or PhD preferred degree in Robotics, Computer Science, Electrical Engineering, or a related field. Publications like WIRED, Fast Company, Popular Science, Sports Business Journal, Fortune and Now This News have covered our news, with remarkable enthusiasm.
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Fluent in SQL and familiar with data warehouses such as Redshift, BigQuery, or Snowflake. An expert with Excel/Google Sheets and data visualization tools such as Metabase, Tableau, Looker, Power BI, or similar software.
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A minimum of a bachelor’s degree is required in a relevant field, such as: Computer Science, Data Science, Information Technology, Statistics, Business Administration with a focus on Information Systems, master’s degree (preferred) in a specialized area, such as: Data Science, Business Analytics, MBA with a focus on technology management.
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Bachelor’s degree in a core life science discipline such as biology, genetics, or related field; Masters or Ph. D. preferred. At least 2+ years of management consulting experience in the life science sector strongly preferred.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Leading a team of technical professionals to perform data validation as part of a larger model risk management team. 5-7 years minimum experience in leading data-related projects at retail banking organizations and/or professional services or AML consulting.
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The successful candidate will have hematology/oncology clinical drug development experience, demonstrated leadership, and be able to critically navigate the science that underlies these programs.
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Bachelor’s Degree in Design, Anthropology, Sociology, Cognitive Psychology, Computer Science, or related discipline required. Bachelor’s Degree in Design, Anthropology, Sociology, Cognitive Psychology, Computer Science, or related discipline required.
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Manage and track Oxfam America’s contributions to Oxfam’s global digital asset management system (“Inuru”), ensuring quality and accuracy of content and data for global sharing and use, training and supporting staff and interns in uploading and applying data.
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The co-founders are currently on the lookout for a VP of Data Science (with potential for the position to be moved to C-suite level, along with co-founder status) with extensive experience working with genomics data and a proven track record on building high-performing data-driven teams in a start-up environment.
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Bachelor's degree in Biology, Chemistry, Clinical Laboratory Science, Medical Technology, or meet local regulatory (CLIA & State) requirements. Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist, or clinical laboratory scientist.
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data science jobs Title: data engineer Company: Capital One in Boston, MA
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