Think you need a decade of experience to make waves in the tech world? Think again! We’re ThinkCX, a premier data analytics firm that empowers some of the biggest names in telecom and smartphone manufacturing. We sift through billions of data signals each day to reveal hidden patterns, trends, and insights. The potential use cases for our data are growing as rapidly as our ambitions.In our team, we value passion as much as skills. We are on the hunt for tech enthusiasts who are as excited about the latest trends as they are about pioneering innovative solutions. We believe in the power of collaboration, and we need innovative thinkers to join our multi-disciplinary engineering team, working alongside the product and sales teams to drive our future forward.Why Choose ThinkCX? - Embrace the freedom and flexibility of working remotely
- Enjoy our comprehensive health & wellness package
- A learning and development program that offers immense growth and advancement opportunities
- Be a part of our tight-knit, inclusive, and diverse team where we value open communication, respect, and recognition
- Casual dress code - be yourself, because that’s who we hired
- Progressive Paid Time Off - we provide a generous Paid Time Off policy that grows with you
Responsibilities: - Mine large, complex sets of data sets for insights on customer behavior.
- Work with product and sales team to design meaningful client focused solutions.
- Work with data analytics team to engineer feature sets.
- Explore vast data sets for new device insight sources or product applications.
- Discover new uses to improve key model metrics.
- Optimize existing production models.
Minimum Qualifications: - Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, computer science, data science, mathematics, physics, electrical engineering, etc.).
- Demonstrated effective written and verbal communication skills.
- Proven self starter and attention to detail.
- Applied experience with SQL and languages/software such as (Python, R, pandas, MATLAB etc.).
Preferred Skills: - Can translate data analysis into business recommendations
- Experience with cloud services like AWS, Azure, Google Cloud
- Applied experience with machine learning on large datasets
- Familiarity with data warehousing platforms like Amazon Redshift, Azure Data Warehouse
- Love solving problems and have analytical skills to boot
- Have a cool side project or a GitHub/Kaggle link? We're keen to see it!
