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