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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, Machine Learning engineers for full-time positions with clients.
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data.
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Onboard datasets, explore data, and automate tasks using a modern Python data stack. 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline.
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Working knowledge of data visualization tools such as Power BI, Tableau, or Alteryx is preferred. Accounting, finance, treasury, litigation matters and data management. Strong financial analysis and modeling skills with a solid understanding of financial statements and/or financial data management.
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Job Summary:Seeking a Full Stack Developer to join a growing technology team for the world’s largest health coaching school. The position will be full-time, and in-house. IIN pioneered the health coaching profession 30 years ago with our flagship Health Coach Training Program, and today, we offer a variety of health, wellness, and coaching courses that empower people to transform by focusing on “what feeds you” in life; mind, body, and career.
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Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, efficient Data solutions.
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We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. Lead Software Engineer, Full Stack. Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Full stack developer for Linear. We are open to you having a B2B contract or a full time permanent position. You have experience in creating database schemas, design data models and implement them using an ORM (We use TypeORM.
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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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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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And data visualization (Tableau, PowerBI, Looker, etc.) Develop knowledge of emerging modern data platforms, Databricks, Snowflake, cloud (AWS, Azure, and/or GCP), data strategy (monetization, governance, etc.
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data science visualization full stack jobs Title: data scientist in New York, NY
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