Data Mining Specialist | Sunnyvale CA | C2C | W2 | FTE | Long Term

 

Job Role: Data Mining Specialist

Location: Sunnyvale, CA

Duration: Long Term

Job Type: C2C/W2/FTE (Contract/Full-Time Equivalent)

Job Description:

As a Data Mining professional, you will be responsible for extracting meaningful patterns and insights from large datasets to support business decision-making and strategy development. You will utilize advanced data mining techniques and algorithms to identify trends, patterns, and relationships in complex data sets.

Key Responsibilities:

1. Data Exploration: Explore and analyze large datasets to discover patterns, trends, and anomalies using statistical and machine learning techniques.

2. Data Preparation: Cleanse, preprocess, and transform data to prepare it for analysis and mining.

3. Model Development: Develop and implement data mining models and algorithms such as clustering, classification, regression, and association rules.

4. Feature Engineering: Engineer features from raw data to improve model performance and predictive accuracy.

5. Visualization: Visualize data mining results and insights to effectively communicate findings to stakeholders.

6. Collaboration: Work closely with cross-functional teams including data scientists, business analysts, and engineers to understand business requirements and deliver actionable insights.

7. Continuous Improvement: Stay updated with the latest advancements in data mining techniques and technologies. Proactively suggest and implement improvements in data mining processes and methodologies.

Required Skills and Qualifications:

• Strong Analytical Skills: Proficiency in statistical analysis, data mining techniques, and machine learning algorithms.
• Programming Skills: Experience with programming languages such as Python, R, or SQL for data analysis and manipulation.
• Data Manipulation: Ability to work with large datasets and databases, including data extraction, cleaning, and transformation.
• Problem-Solving: Strong problem-solving skills with the ability to think creatively to solve complex data-related challenges.
• Communication: Excellent verbal and written communication skills to convey technical concepts and insights to non-technical stakeholders.

Preferred Qualifications:

• Educational Background: A bachelor’s or master’s degree in Computer Science, Statistics, Data Science, or a related field.
• Experience: Previous experience in data mining, machine learning, or statistical analysis roles, preferably within the technology or e-commerce industry.
• Tools: Familiarity with data mining tools and platforms such as TensorFlow, PyTorch, scikit-learn, or similar.

Job Type and Duration:

• Contract (C2C/W2): Specifies whether the role is contract-based, with options for Corp-to-Corp (C2C) or as an employee (W2).
• Full-Time Equivalent (FTE): Indicates whether the role is also open for permanent employment.
• Duration: Listed as "Long Term," suggesting a sustained engagement rather than short-term.

This role is pivotal in leveraging data-driven insights to support strategic decision-making and enhance business performance. It requires a blend of technical expertise in data mining and strong analytical skills to uncover actionable insights from complex datasets.