We are seeking a highly skilled and motivated Data Wrangler to join our team. The ideal candidate will have a data science mindset, with strong critical thinking and problem-solving skills, and a proven ability to apply these skills to solve complex data science problems at scale. 

If you are passionate about data, enjoy tackling challenging problems, and thrive in a fast-paced environment, we want to hear from you!

Responsibilities

• Data Collection and Management: Acquire, clean, and organize large datasets from various sources to ensure data integrity and usability.
• Data Analysis: Perform exploratory data analysis to understand data characteristics, identify patterns, and detect anomalies.
• Data Transformation: Develop and implement data transformation pipelines to preprocess data for analysis and modeling.
• Problem Solving: Apply critical thinking and problem-solving skills to identify data-related issues and develop effective solutions.
• Documentation: Ability to review, create, and maintain thorough documentation of data sources, processes, and methodologies to ensure reproducibility and transparency.
• Quality Assurance: Conduct rigorous data validation and testing to ensure the accuracy and reliability of datasets.

Qualifications

• 3 years of experience in data wrangling, data engineering, or a similar role.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data manipulation libraries (e.g., Pandas, Dplyr) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Strong analytical and quantitative skills with a keen attention to detail.
• Demonstrated ability to think critically and solve complex problems effectively.
• Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Ability to work independently and manage time effectively.

Preferred Qualifications

• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Knowledge of data governance and best practices in data management.
• Familiarity with BI tools like Looker, Looker Studio, etc. is a plus.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is a plus.

Benefits

• Merit based advancement. We recognize and reward employees for being dedicated to their work.
• Health, vision, dental, HSA, 401k, life insurance, and PTO.
• Laid back work environment with normal business hours. We are a family owned business and we respect that you have a personal life. You are expected to work normal business hours Monday through Friday, 8:00 am - 5:00 pm. NOT nights or weekends.
• Job stability. We are a growing company in a thriving sector. Our employees are valuable, not disposable.