Job Description

We are seeking a talented Data Mining Engineer to join our Data Science and Analytics team. The ideal candidate will be responsible for extracting meaningful insights from large, complex datasets using statistical analysis, machine learning, data mining techniques, and predictive modeling. You will work closely with data scientists, data engineers, software developers, and business stakeholders to identify trends, discover hidden patterns, and develop scalable data-driven solutions that support strategic business decisions.

The successful candidate should have expertise in data mining algorithms, SQL, Python, big data technologies, cloud platforms, and modern analytics tools.

Key Responsibilities

• Collect, clean, transform, and analyze structured and unstructured datasets from multiple sources.
• Design and implement data mining algorithms to identify trends, anomalies, and business opportunities.
• Develop predictive models and machine learning solutions to solve business challenges.
• Perform exploratory data analysis (EDA) to uncover hidden insights and improve decision-making.
• Build scalable data pipelines for processing large datasets.
• Work with data warehouses, data lakes, and cloud-based analytics platforms.
• Collaborate with data scientists and business analysts to define analytical requirements.
• Optimize SQL queries and improve data retrieval performance.
• Develop dashboards, reports, and visualizations to communicate analytical findings.
• Validate data quality, integrity, and consistency across enterprise systems.
• Apply feature engineering techniques to improve machine learning model performance.
• Monitor data mining models and continuously optimize their accuracy and efficiency.
• Ensure compliance with data governance, privacy regulations, and organizational security standards.
• Document methodologies, processes, and technical solutions.
• Stay up to date with emerging technologies in data science, artificial intelligence, and big data analytics.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.
• 3+ years of experience in data mining, data science, analytics, or machine learning.
• Strong programming skills in Python and SQL.
• Experience with statistical analysis and predictive modeling.
• Hands-on experience with data mining techniques and machine learning algorithms.
• Experience with relational and NoSQL databases.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of data visualization and reporting tools.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Master’s degree in Data Science, Artificial Intelligence, Statistics, or a related field.
• Experience with Apache Spark, Hadoop, Databricks, or Snowflake.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Experience building ETL pipelines using Apache Airflow or similar tools.
• Knowledge of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Experience with Docker, Kubernetes, and MLOps practices.
• Understanding of data governance, privacy regulations, and model monitoring.

Technical Skills

Programming Languages

• Python
• SQL
• R
• Scala (Preferred)

Data Mining & Machine Learning

• Data Mining
• Predictive Modeling
• Machine Learning
• Statistical Analysis
• Feature Engineering
• Clustering
• Classification
• Regression Analysis
• Time Series Forecasting
• Association Rule Mining

Data Science Libraries

• Pandas
• NumPy
• Scikit-learn
• TensorFlow
• PyTorch
• XGBoost
• LightGBM

Big Data Technologies

• Apache Spark
• Hadoop
• Databricks
• Kafka

Databases

• PostgreSQL
• MySQL
• MongoDB
• Snowflake
• Amazon Redshift
• Google BigQuery

Cloud Platforms

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Data Visualization

• Power BI
• Tableau
• Matplotlib
• Plotly

DevOps & MLOps

• Git
• Docker
• Kubernetes
• MLflow
• Apache Airflow
• Jenkins

Preferred Certifications

• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• Databricks Certified Data Engineer Associate
• IBM Data Science Professional Certificate
• Snowflake SnowPro Core Certification
• SAS Certified Data Scientist

Soft Skills

• Strong analytical and critical thinking skills.
• Excellent problem-solving abilities.
• Attention to detail and data accuracy.
• Effective communication and presentation skills.
• Collaboration in cross-functional teams.
• Time management and project organization.
• Curiosity and a passion for data-driven decision-making.
• Adaptability to new technologies and business needs.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Continuous learning mindset.

Preferred Industries

• Artificial Intelligence
• Information Technology
• Financial Services (FinTech)
• Healthcare & HealthTech
• E-commerce
• Retail
• Telecommunications
• Manufacturing
• Insurance
• Consulting

Benefits

• Competitive salary with annual performance bonus.
• Medical, dental, and vision insurance.
• Paid time off (PTO) and company holidays.
• Flexible remote/hybrid work options.
• Employee Stock Purchase Plan (where applicable).
• Professional certification and training reimbursement.
• Learning and career development programs.
• Employee wellness and assistance programs.
• Career advancement opportunities.