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Rapid Miner Jobs (NOW HIRING)

Amicis Global

Software Developer

New York, NY · On-site

$70 - $90/hr

... Jupyter, Rapid Miner, etc. is a plus. • Experience with Big Data tools/technologies: Hadoop, Pig, Hive, Hue, PySpark etc. is a plus. • Experience with ETL tools like Azure Data Factory ...

Peabody Energy

Supervisor Continuous Miner

Adger, AL · On-site

We are currently seeking a Continuous Miner (CM) Supervisor to join our production team at our ... handle), and have rapid reflex movements of the arms and legs as well as good hand to eye ...

Peabody Energy

Mechanic - Underground

Coulterville, IL · On-site

$39.28/hr

It uses a continuous miner to extract the coal. Peabody Gateway North Mine has a safety-first ... have rapid reflex movements of the arms/legs and good hand to eye coordination * Must have the ...

Peabody Energy

Operator - Underground

Coulterville, IL · On-site

$37.38/hr

It uses a continuous miner to extract the coal. Peabody Gateway North Mine has a safety-first ... have rapid reflex movements of the arms/legs and good hand to eye coordination * Must have the ...

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Rapid Miner information

What are the key skills and qualifications needed to thrive as a RapidMiner Data Analyst, and why are they important?

To thrive as a RapidMiner Data Analyst, you need a strong background in data analysis, statistics, and machine learning concepts, often supported by a degree in computer science, data science, or a related field. Proficiency with the RapidMiner platform, as well as familiarity with data visualization tools and SQL, is typically required, and certifications like RapidMiner Analyst or Expert can be advantageous. Analytical thinking, problem-solving, and effective communication are important soft skills for interpreting data insights and collaborating with stakeholders. These skills enable analysts to extract actionable insights efficiently, drive data-driven decisions, and maximize the value of data projects.

What is the difference between Rapid Miner vs Data Analyst?

FeatureRapid MinerData Analyst
Primary RoleData mining, machine learning, and predictive analytics platformInterpreting data, creating reports, and supporting decision-making
Required SkillsData science, programming, analytics toolsStatistical analysis, Excel, data visualization
Work EnvironmentData science teams, analytics departments, software platformsBusiness units, analytics teams, reporting tools
CertificationsRapid Miner certifications, data science credentialsStatistical or data analysis certifications (e.g., CAP, Microsoft Certified)

While Rapid Miner is a data science platform focused on building predictive models and automating data workflows, Data Analysts primarily interpret data, generate reports, and support strategic decisions. Both roles require analytical skills, but Rapid Miner emphasizes technical expertise in machine learning and data mining, whereas Data Analysts focus on data interpretation and visualization.

What are some common challenges faced by RapidMiner professionals when deploying machine learning models in a business environment?

RapidMiner professionals often encounter challenges such as integrating models with existing business systems, ensuring data quality and consistency, and translating analytical results into actionable business insights. Collaboration with stakeholders from both IT and business departments is vital to ensure successful deployment and adoption. Additionally, keeping models updated and monitoring their performance over time requires ongoing attention, which means strong communication and project management skills are as important as technical expertise.

What are Rapid Miners?

Rapid Miners are professionals who use the RapidMiner platform, a popular data science software, to perform data analysis, machine learning, and predictive modeling. They work with large datasets to uncover insights, build models, and help organizations make data-driven decisions. Rapid Miners often have skills in data preparation, algorithm selection, and model evaluation. Their expertise is valuable across industries like finance, marketing, healthcare, and more.
More about Rapid Miner jobs
What job categories do people searching Rapid Miner jobs look for? The top searched job categories for Rapid Miner jobs are:
Rapid Miner jobs near you

Software Developer

Amicis Global

New York, NY • On-site

$70 - $90/hr

Contractor

Posted 20 days ago

Job description

Title: Software Developer
Location: New York, NY - hybrid 10019
Duration: 12 months+ Contact
Pay: $70-$80/hr on W2
Overview
We are looking for a Software Developer to join our team with the growing requirement of Data & Analytics. The hire will be responsible for collaborating with business users and delivering analytics projects. Also, they will be building and optimising our data storage and pipeline architecture to provide a strong base for our data platform. Furthermore, they will work on a variety of projects around Analytics, Digital Marketing Integration, Campaign Management, Lead Generation, Data Integration, and Visualisation. The ideal candidate is an experienced software developer who enjoys optimizing data and analytics systems and building them from the ground up. They must be self-directed and comfortable supporting the needs of multiple systems and projects. Candidates will be expected to be very hands-on and pick up domain knowledge. We focus on solving the problem and not getting tied down by technological choices - it is extremely important that candidates are open to learning & working with technologies that are new for them. We support what we build – the candidate will be responsible for post-production support on a rotation basis.
Responsibilities
• Collaborating with technology and business users to define key business metrics and develop analytical dashboards to provide actionable insights to Clients.
• Build and optimise data pipelines to consume data from various sources, transform & model it, and then distribute it to multiple consumers.
• Work with multiple data sources (including structured and unstructured) to create optimized data cubes for consumption by analytical dashboards and/or downstream systems.
• Identify, design, and implement improvements / automations for optimizing data processing, storage, and availability, while maintaining scalability, etc.
• Build and support analytics tools that utilize the data pipeline to provide actionable insights into data trends and other key business metrics.
• Develop and support analytics & machine learning projects.
• Support migration of the data platform from on-premises to cloud infrastructure.
• Work with various stakeholders, including Technology and Client teams, to assist with data & analytics-related projects and issues.
Qualification
• We are looking for a candidate with 7+ years of experience in a Software Development role, who has attained a bachelor's or master's degree in computer science, information technology/systems or another relevant technical field.
• Advanced working knowledge and experience with data modelling, data warehousing concepts, database design principles, query authoring (SQL) and performance optimisation.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Hands-on programming experience with Python, Java, or C#.
• Working knowledge of a visualisation/reporting tool.
• Excellent problem-solving and analytical skills with attention to detail.
• Strong project management and organisational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Excellent communication and collaboration skills.
Skillset and Experience
• Experience with Relational database systems like Sybase, SQL Server, Postgres, etc.
• Experience with object-oriented or function scripting languages: Python (NumPy, Pandas), Java, C++, or Scala, etc.
• Working knowledge of visualisation tools like Tableau, QlikView, Power BI etc.
• Experience with Cloud technologies like Snowflake, Microsoft Azure, Databricks, etc is a plus.
• Experience with data-science tools/workbench like Dataiku, Jupyter, Rapid Miner, etc. is a plus.
• Experience with Big Data tools/technologies: Hadoop, Pig, Hive, Hue, PySpark etc. is a plus.
• Experience with ETL tools like Azure Data Factory, Informatica, etc. is a plus.
• Experience with machine learning / artificial intelligence techniques like regression, classification, clustering, time series, text mining, large language models, etc. is a plus.