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Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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Advanced degree (Masters with 4+ years of experience or PhD) or Bachelors degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Bachelor’s degree in computer science, Computer Engineering, or equivalent.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Proficient in data analysis tools and software, such as Excel, SPSS, R, Python, Tableau, or Power BI. The team brings together a diverse team of experts across HR, data science, DEI and systems that works together to deliver analysis and recommendations related to the management of Human Capital.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and six (6) years of experience as a Director, Data Analytics and Insights (or closely related occupation) performing data analysis using Snowflake, SAS, SQL for data querying, Python, and Alteryx.
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Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics.
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MSc/Ph. D. in Computer Science, Robotics, Electrical Engineering, Physics, Mathematics or a related technical field with a significant component of computer vision and machine learning in the curriculum/research.
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Demonstrate proven experience in Python and a solid understanding of computer science fundamentals, including object-oriented programming, data structures, algorithm design, problem-solving, and complexity analysis.
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Understanding of Infrastructure-As-Code using tools like Terraform, Ansible, or Jenkins, and configuration management tools such as Puppet, Chef, or Salt. Ability to script/code in languages such as Bash, Python, PowerShell, and translate solutions into technical documentation.
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Minimum Masters degree in Statistics, Applied Mathematics, Data Science, Engineering, Computer Science, or a closely related field is encouraged. Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis.
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Prior experience in data science/AI/BI tools. Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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The candidate will work as a part of a collaborative team to generate analytical data for R&D and drug development. Strong laboratory skills and a high degree of attention to detail with the experience in following molecular biology and analytical techniques: PCR, gel electrophoresis, gel imaging, SDS-PAGE Mammalian cell culture, transfection, transduction (AAV) Nucleic acid preparation (DNA, RNA), ddPCR, qPCR and data analysis.
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computer science data python r jobs Title: data analyst business systems in Somerville, MA
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