Position: Data Scientist/ML Engineer
Company: N-iX
Experience required: 2y
English level: upper

**Our customer is a Jordanian Bank** that requires some of its digital processes to be automated and optimized. Everything is big-data-driven so the projects are highly dependent on the big-data stack. The company operates through consumer banking, small and medium enterprises, corporate banking, and treasury segments. Further, it provides brokerage, finance lease, and banking facilities. The company provides its services through its main branch in Amman and through its 46 branches in Jordan.

**Responsibilities:**
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information
- Research and develop analysis, forecasting, and optimization methods
- Monitor key metric to help the business identify emerging trends

**Requirements:**
- 2 years of work experience in data analysis/machine learning related field
- Experience with R, Python, SQL
- Expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
- Applied experience with machine learning on large datasets
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills
- English level – upper-intermediate or higher

**Nice to have:**
- Prior AWS experience (SageMaker etc.)
 
**We offer:**
- ​Flexible working hours
- ​A competitive salary and good compensation package
​- Best hardware
​- A masseur and a corporate doctor
​- Healthcare & sport benefits
​- An inspiring and comfy office

**Professional growth:**
- Challenging tasks and innovative projects
​- Meetups and events for professional development
- ​An individual development plan
​- Mentorship program

**Fun:**
- ​Corporate events and outstanding parties
​- Exciting team buildings
​- Memorable anniversary presents
​- A fun zone where you can play video games, foosball, ping pong, and more