Data Mining Specialist

CoreHaul Logistics

Washington

Presencial

USD 12.000 - 17.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Accommodation provided
Visa sponsorship

Descripción de la vacante

CoreHaul Logistics in Washington, United States, seeks a Data Mining Specialist to collect, analyze, and interpret large data sets to identify patterns and trends. You will collaborate with multiple departments to develop data-driven solutions and strategies.

The candidate should have 2-3 years of data mining experience, strong SQL/Python/R skills, and hands-on experience with Hadoop, Spark, or Hive. This is a full-time role with visa sponsorship and accommodation for international candidates.

Formación

  • Requires 2-3 years of data mining or related field.
  • Proficiency in SQL, Python or R.
  • Experience with large datasets and big data tools (Hadoop, Spark, Hive).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation abilities.

Responsabilidades

  • Collect, clean, and organize large data sets from multiple sources.
  • Analyze data using statistical methods to identify patterns and trends.
  • Interpret results and present findings clearly to stakeholders.
  • Collaborate with cross-functional teams to develop data-driven strategies.
  • Develop algorithms and models for predictive analysis.
  • Identify areas for process improvement based on data insights.

Conocimientos

Data analysis
Problem solving
Communication
Independent work

Educación

Bachelor's or Master's degree in CS/Stats/Math

Herramientas

SQL
Python
R
Hadoop
Spark
Hive

Descripción del empleo

Data Mining Specialist

We are seeking a highly skilled and experienced Data Mining Specialist to join our team in Washington, USA. As a Data Mining Specialist, you will be responsible for collecting, analyzing, and interpreting large amounts of complex data to identify patterns and trends. Your role will involve collaborating with various departments to develop data-driven solutions and strategies. The ideal candidate will have a strong background in data analysis and mining techniques, excellent problem-solving skills, and the ability to communicate complex ideas effectively. This is a full-time position with competitive salary and benefits, including accommodation and visa sponsorship for international candidates. Fluency in English is preferred but not required. Indian nationals are encouraged to apply.



  • Salary: $1300/month

  • City: Washington, USA

  • Profession: Data Mining Specialist

  • Experience Required: 2-3 years of experience in data mining or related field

  • Employment Type: Full-time

  • Accommodation Provided: Yes

  • Visa Sponsorship Available: Yes (for international candidates)

  • Language Requirement: Fluency in English preferred but not required

  • Nationality Preference: Indian nationals encouraged to apply


Responsibilities


  • Collecting, cleaning, and organizing large sets of complex data from various sources.

  • Analyzing data using statistical methods to identify patterns and trends.

  • Interpreting results and presenting findings in a clear and concise manner.

  • Collaborating with cross-functional teams to develop data-driven strategies.

  • Developing algorithms and models for predictive analysis.

  • Identifying areas for process improvement based on data analysis.

  • Staying up-to-date with industry trends and advancements in data mining techniques.


Requirements


  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics or related field.

  • 2-3 years of experience in data mining or related field.

  • Proficiency in programming languages such as SQL, Python or R.

  • Experience working with large datasets using tools such as Hadoop, Spark, or Hive.

  • Strong analytical and problem-solving skills.

  • Excellent communication and presentation skills.

  • Ability to work independently and in a team environment.

  • Attention to detail and ability to handle multiple projects simultaneously.


We value diversity and are an equal opportunity employer. We offer a competitive salary, comprehensive benefits package, and a dynamic work environment.


If you have a passion for data analysis and are looking for an exciting opportunity to grow your career,

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