Position: Middle Data Scientist
Company: United Software
Experience required: 2y
English level: upper

We rely on you to build data products to extract valuable business insights. In this role, you are highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal is to help our company and our clients analyze trends to enable better decision making. This is a hybrid position open for all nationalities.

Our Headquarter location is in Muscat, Oman.

**Responsibilities**
- Work with internal and external stakeholders to assist with data-related technical issues and identify opportunities for leveraging company data to drive business solutions.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Assess the effectiveness and accuracy of data sources and data gathering techniques.
- Mine and analyze data using state-of-the-art algorithms on large datasets to extract trends and discovering patterns.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data.
- Design and develop predictive models using machine learning algorithms to increase and optimize customer experiences and other business outcomes.
- Analyze the problem-solving capabilities and use-cases of machine learning algorithms and rank them by their success probability.
- Explore and visualize data for better understanding and identify differences in data distribution that could impact model performance when deploying it in real-world scenarios.
- Perform statistical analysis and fine-tune models using test results.

**Skills**
- 2+ years experience with data
- Knowledge of algorithms and data structures
- Advanced math and statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)
- Programming experience in Python, R, Java, C++, etc.
- Demonstrated experience working with large, complex datasets using scalable tools related to machine learning and big data.
- Strong ability to write complex, efficient, and eloquent SQL queries to extract data.
- Experience in working with database systems like SQL and NoSQL.
- Robust data modeling and data architecture skills.
- Experience in working with various machine learning libraries and packages like scikit-learn, Theano, TensorFlow,Keras, Matplotlib, Caffe, etc.
- Develop tooling and infrastructure that supports data scientists with model development.
- Problem-solving aptitude.
- Excellent communication and presentation skills.
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.

**Product benefits**
- On top of a highly competitive salary, you can expect:
- Exposure to high-impact, interesting projects
- An honest, entrepreneurial, collaborative, high-performance culture
- Infinite opportunities to learn, both on the job and through our rigorous professional development program

**...and of course, your benefits:**
- 20 fully paid business days of vacation
- 15 fully paid sick leaves
- public holidays
- compensation for health insurance and sport club membership
- ability to work from home or remotely
- flexible working hours without time trackers 😊