ZipRecruiter

Log In

1

Data Mining Online Jobs in Indiana (NOW HIRING)

campus4tech

Data Analyst

Indianapolis, IN · On-site

... mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to ...

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

USM

Data Scientist

Columbus, IN

... data mining techniques for Predictive Analytics. 5+ years of experience developing Advanced Analytics using, for example, Linear Regression, Logistic Regression, GLM, GAM, PCA, ANOVA, CART ...

DPDHL

Data Engineer I

Whiteland, IN · On-site

$114K - $137K/yr

Develop and sustain data workflows for modeling, mining, and production, identifying opportunities for new data acquisition and integration. * Use a variety of languages and tools to integrate ...

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Working closely with our analysts and reporting directly to the Director of Finance, you will keep our data pipelines reliable, expand our warehouse as new data sources come online, and help shape ...

next page

Showing results 1-20

All JobsData Mining Online JobsData Mining Online Jobs in Indiana

Data Mining Online information

What is data mining in an online context?

Data mining online refers to the process of using algorithms and statistical methods to analyze large sets of digital data collected from the internet, such as website activity, social media interactions, or online transactions. The goal is to discover patterns, trends, and useful information that can help businesses make informed decisions, improve customer experiences, or detect fraud. Online data mining often involves the use of specialized software and tools to extract and process data from various online sources efficiently.

What are some common challenges faced by professionals working in data mining online, and how can they be addressed?

Professionals in online data mining often encounter challenges such as handling large, unstructured datasets and ensuring data privacy and security. Working remotely, they must also stay updated with rapidly evolving tools and algorithms. Effective solutions include leveraging cloud-based platforms for scalable processing, collaborating closely with IT and data security teams, and participating in regular upskilling through webinars and online courses to maintain technical proficiency.

What are the key skills and qualifications needed to thrive as a data mining specialist, and why are they important?

To thrive as a Data Mining Specialist, you need strong analytical skills, a solid background in statistics, and proficiency in programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with data mining tools such as RapidMiner, Weka, or SAS, as well as database management systems and machine learning frameworks, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and present actionable insights to stakeholders. These skills and qualities are crucial for extracting valuable patterns from large datasets and driving data-driven decision-making in organizations.

What is the difference between Data Mining Online vs Data Analyst?

AspectData Mining OnlineData Analyst
Required CredentialsBachelor's in CS, Statistics, or related; certifications like Certified Data Mining SpecialistBachelor's in Data Science, Statistics, or related; often similar certifications
Work EnvironmentPrimarily remote, project-based, often freelance or contractOffice or remote, ongoing analysis roles within organizations
Industry UsageUsed across tech, e-commerce, marketing for extracting insights from online dataUsed in finance, healthcare, marketing for interpreting data trends

Data Mining Online focuses on extracting patterns from online data sources, often in a freelance or remote setting. Data Analysts interpret data within organizations to inform decisions. While both roles require similar skills and credentials, Data Mining Online emphasizes online data sources and often involves project-based work, whereas Data Analysts typically work within a company's data team on ongoing analysis.

How do you become a data mining online?

To become a data miner online, you typically need a background in data analysis, statistics, or computer science, along with skills in programming languages like Python or R. Gaining experience with data mining tools and techniques, completing relevant online courses or certifications, and building a portfolio of projects can help establish expertise in the field.

What are the most commonly searched types of Data Mining jobs in Indiana?

The most popular types of Data Mining jobs in Indiana are:

What are popular job titles related to Data Mining Online jobs in Indiana?

For Data Mining Online jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Mining Online jobs in Indiana look for?

The top searched job categories for Data Mining Online jobs in Indiana are:

Data Mining Online jobs near you

Pre-Award: MXM- Data Scientist III

Crane, IN • On-site

Barbaricum
National Security • 201 - 500 employees
Learn more about Barbaricumexternal

Full-time

Posted 7 days ago

Job description

Barbaricum is seeking an Data Scientist III to directly support the anticipated Naval Surface Warfare Center (NSWC) Crane Division, Model Based Engineering Assessment Division (Code MXM). Code MXM's mission is mission engineering analysis and assessment of complex Naval, DoD, and joint kill chains - with a specialized focus on Electromagnetic Spectrum Operations (EMSO) enabled analysis. As a Data Scientist III, you will apply data science, statistics, and machine learning to Code MXM's EMSO mission engineering - supporting statistical and analytical investigations, data mining, and advanced analytics against large datasets. You will build and maintain the data pipelines and systems that turn EM spectrum data into decision-quality insight.

KEY RESPONSIBILITIES

  • Support software integration or testing, including analyzing and implementing test plans and scripts.
  • Apply scripting languages such as Python and R, using packages commonly used in data science and advanced analytics.
  • Apply data science, data mining, statistics, or graph algorithms to support analytics objectives.
  • Apply SQL, NoSQL, API building, ETL pipelines, web application servers, or search index.
  • Use tools such as Python, Jupyter Notebook, Pandas, Numpy, and Requests.
  • Apply complex mathematical and statistical concepts and operations research methods and tools.
  • Employ spreadsheets for data manipulation and visualization.

REQUIRED QUALIFICATIONS

  • Active DoD SECRET clearance (minimum); U.S. citizenship required.
  • Master's degree.
  • 10 or more years of professional experience with data science.

DESIRED QUALIFICATIONS

  • Relevant industry certification such as CompTIA Cloud Essentials, Microsoft Technical Associate (MTA), Certificate of Cloud Security Knowledge (CCSK), CompTIA A+, CompTIA Security+, EMC Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD), CISSP, Cloudera Certified Professional (CCP), MCPD, MCSD, MCSE / Private Cloud, or Cloudera Certified Administrator for Apache Hadoop (CCAH).

Apply