Data Miner

Job Description

Title: Data Miner

Company Name: Skillers Zone Ltd

Vacancy: 5

Age: Na

Job Location: Dhaka (DOHS Mohakhali)

Salary: Tk. 15000 - 25000 (Monthly)

Experience:

  • 3 to 4 years
  • The applicants should have experience in the following business area(s): IT Enabled Service


Published: 2025-11-17

Application Deadline: 2025-11-26

Education:
    • Bachelor of Science (BSc) in Computer Science & Engineering
    • Master of Science (MSc) in Computer Science & Engineering



Requirements:
  • 3 to 4 years
  • The applicants should have experience in the following business area(s): IT Enabled Service


Skills Required: Data analysis,Data Science

Additional Requirements:

We are seeking a skilled and experienced Data Miner to extract valuable insights from large datasets and support data-driven business decisions. You must have at least 3 - 4 years of practical experience in data mining techniques, machine learning algorithms, and data analysis. This role will play a key part in developing data-driven strategies.

  • Experience with visualization tools (Tableau, Power BI).
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Prior work in [specific industry, e.g., finance, e-commerce, healthcare] is an advantage.

Technical Skills:

  • Proficient in Python (pandas, scikit-learn, NumPy) and/or R.
  • Strong SQL skills for querying large databases.
  • Experience with big data tools (Hadoop, Spark) is a plus.
  • Knowledge of machine learning frameworks and statistical modeling.

Soft Skills:

  • Excellent analytical and problem-solving abilities.
  • Strong communication skills to explain complex findings to non-technical stakeholders.
  • Ability to work independently and in a team environment.


Responsibilities & Context:
  • Identify patterns, trends, and anomalies from large and complex datasets (structured and unstructured).
  • Develop and optimize models using data mining tools (e.g., Rapid Miner, KNIME, Weka) and programming languages (Python, R, SQL).
  • Apply clustering, classification, association rule mining, and predictive analytics.
  • Perform data cleaning, preprocessing, and feature engineering.
  • Collaborate with cross-functional teams (e.g., Data Scientists, Business Analysts) to present insights and generate reports.
  • Maintain data privacy (GDPR/local regulations) and security standards.
  • Continuously monitor performance and improve models.


Job Other Benifits:
  • Salary Review: Yearly
  • Festival Bonus: 2


Employment Status: Full Time

Job Work Place: Work at office

Company Information:

Gender: Male and Female can apply

Read Before Apply: Please apply only who are fulfilling all the requirements of this job

Category: IT & Telecommunication

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