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Entry Level Data Mining Jobs in Boston, MA (NOW HIRING)

Elutions

Domain Engineer

Boston, MA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Elutions

Domain Engineer

Boston, MA

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Elutions

Domain Engineer

Boston, MA · Remote

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

All JobsData Mining JobsEntry Level Data Mining JobsEntry Level Data Mining Jobs in Boston, MA

Entry Level Data Mining information

See Boston, MA salary details

$55.4K

$76K

$96.7K

How much do entry level data mining jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level data mining in Boston, MA is $76,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,300.00 per year, depending on experience, location, and employer.

What is an Entry Level Data Mining job?

An Entry Level Data Mining job involves collecting, cleaning, and analyzing large datasets to identify patterns and trends. Professionals in this role use statistical techniques, programming languages like Python or SQL, and data visualization tools to extract meaningful insights. They often support business decisions by preparing reports, building predictive models, and ensuring data quality. This role is ideal for individuals with a background in data science, computer science, or related fields who want to gain hands-on experience in handling and interpreting data.

How much does an entry-level miner make?

Entry-level data miners typically earn between $40,000 and $60,000 annually, depending on the industry, location, and specific skills such as knowledge of SQL or data analysis tools. Starting salaries may be lower in some regions or companies, but with experience and additional training, earnings can increase.

What does a typical day look like for someone in an Entry Level Data Mining position?

A typical day for an Entry Level Data Mining professional often involves cleaning and organizing raw data, running exploratory analyses, and assisting in building models or algorithms under the guidance of senior team members. Collaboration with data analysts, engineers, and business teams is common, as you may be responsible for preparing reports or visualizations that help inform decision-making. You may also spend time learning new data mining techniques or tools to enhance your efficiency and broaden your skill set. The role offers a mix of technical tasks and teamwork, making it a great opportunity for those eager to grow within the field of data science.

What are the key skills and qualifications needed to thrive in the Entry Level Data Mining position, and why are they important?

To thrive as an Entry Level Data Mining professional, a solid understanding of statistics, basic programming (such as Python or R), and data analysis is typically required, often backed by a degree in computer science, mathematics, or a related field. Familiarity with data mining tools like Weka, RapidMiner, or SQL databases is beneficial, and certifications in analytics or data science can enhance your prospects. Strong attention to detail, analytical thinking, and effective communication are important soft skills for collaborating and conveying findings to non-technical stakeholders. These competencies ensure accurate data extraction, meaningful insights, and successful teamwork essential for effective contributions in data-driven environments.

Is 40 too late for data science?

Entry level data mining roles are accessible at any age, including at 40, especially if you develop relevant skills such as SQL, Python, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.

Will data mining be replaced by AI?

Data mining as a job involves extracting useful patterns from large datasets, and AI tools are increasingly automating parts of this process. However, human expertise is still essential for interpreting results, designing algorithms, and ensuring data quality, so data mining roles are likely to evolve rather than be fully replaced by AI.

How to get started in data mining?

To start a career in data mining, develop skills in programming languages like Python or R, learn database query languages such as SQL, and understand data analysis and machine learning concepts. Gaining experience through online courses, certifications, or internships can also help build practical knowledge in data extraction and analysis tools.
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Entry Level Data Mining jobs near you
Domain Engineer

Domain Engineer

Elutions

Boston, MA • On-site

Full-time

Posted 16 days ago

Job description

ELUTIONS is a premier global provider of Operational Business Intelligence Solutions that significantly improve business processes surrounding energy efficiency, critical asset performance and workforce productivity. As the top leader in our industry, world-wide, we are constantly on the lookout for go-getters, people who aren't afraid to work hard, but have fun at the same time. Those who join our team aren't just bright, but are willing to develop and hone their skills every day, all while making a significant difference in the world.
The Engineering Team is seeking a motivated, hard-working Domain Engineer with the ability to integrate energy conservation strategies into real world applications (commissioning data analytics and implementation).
Both entry and mid-level applicants are encouraged to apply as on-the-job training is available.
** Entry Level Candidates are Encouraged to Apply!!!**
General Responsibilities:
  • Field travel to perform site surveys and equipment installation/commissioning.
  • Conduct research, data analytics, and prepare reports.
  • Grasp concepts related to fluid mechanics, pumping systems, wastewater treatment processes, and desalination processes.
  • Understand big data concepts and have knowledge of data mining algorithms.
  • Read and understand pump characteristic curves and electrical schematics.
  • Learn and implement technical hardware/software solutions.
  • Be comfortable with data pattern recognition and energy optimization algorithms.
  • Provide 2nd tier customer support.
  • Conduct customer and sales training including software demonstrations/presentations and sales support.
  • Have effective interpersonal skills, organization/prioritization and administrative skills
  • Interface effectively with customers, other departments and managers to resolve customer problems.

Requirements:
  • Master's degree or Bachelor's degree in either Mechanical Engineering, Electrical Engineering, Industrial Engineering, or Environmental Engineering disciplines

Motivational Fit:
The successful candidate will have the following attributes:
  • Good communication skills, especially with teams in other locations
  • Plans and organizes well
  • Creative problem solver
  • Initiates action
  • Flexible and adaptable
  • Team-oriented
  • Highly motivated

Apply