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Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication, as well as in the insights and analytics necessary to drive growth and improve customer experience.
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Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy.
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Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). The ideal candidate will have strong analytical skills, extensive experience with data visualization tools such as Salesforce CRMA and Tableau, and a deep understanding of fundraising metrics and processes.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions)." Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), CICD, basic software engineering, data engineering, etc.
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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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Whether your current position or job skill is a data entry clerk, administrative assistant, receptionist, warehouse or factory worker, driver, medical assistant, nurse or health care worker, call center or customer service representative or anyone who is looking for a part-time, remote, work from home job, this is an excellent position to supplement your income with great flexibility and zero prior experience needed.
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Job Description Senior Data ScientistLocation: Waltham, MAGet To Know The Team: Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members.
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Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing.
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The RoleAs a Senior Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech's Engineering Product Suite of Modeling and Simulation platforms.
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Extensive knowledge of wind plant data, wind turbine design, or operations of a wind plant. Deep experience with AWS data warehouse and ETL tools such as Redshift, Glue, Data Pipeline.
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Skilled in SQL Azure, Azure Services, and Azure Data Factory. Strong focus on detail with a commitment to data accuracy and auditing. Implement data modeling for the creation of PowerBI dashboards, addressing real-world problems.
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Experience with data governance, master data management, data warehouse and business intelligence preferred. The position requires strong data analysis, problem-solving, business process, time management, reporting skills and knowledge of R, SQL and/or Python.
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As a Summer Co-op 2025 – Data Analyst in Burlington, MA at Keurig Dr Pepper (KDP), you will be a part of the beverage revolution. Analyze data from MES (manufacturing execution system) and quality inspection data to make process improvements.
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Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems. Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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data job Title: data in Bedford, MA
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