Data Scientist

Linktera Bilgi Teknolojileri

How much product should I stock for next year? What will be my income for the next five years? Is there an effective way to recommend my products to my customers? Am I doing my campaigns for the right products? How should I plan maintenance intervals for my equipment? Is there a way to estimate a spare part without malfunction? As Linktera Business Intelligence and Analytical team, we try to answer these and similar questions of our customers. We create data pipelines for companies, build data models and turn them into software products. We are looking for colleagues to help us answer this (and many more) questions.

We are establishing a new team to find answers to many questions in the business world with data science. The role of the Data Scientist will be to look for solutions in this team by creating models for many different business problems for many different sectors. A successful candidate is a problem solver who can communicate between technical and business units, willing to create value from data, and struggle with difficult modeling problems.

KEY RESPONSIBILITIES :

• Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.).
• Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
• Directly contribute to the design and development of automated forecasting systems.
• Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance.
• Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback.

BASIC QUALIFICATIONS :

• MS in a quantitative discipline such as Statistics, Mathematics, Physics, Engineering, Computer Science or Economics.
• 2+ years work experience in an analytical role involving data extraction, analysis, and communication.
• Working experience with Geospatial data is a big plus.
• Proficiency in at least one statistical software package such as R, Stata, Matlab, or Python.
• Expertise using SQL for acquiring and transforming data.
• Outstanding quantitative modeling and statistical analysis skills.
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to business audiences.
• Experience with causal inference, applied time series modeling or machine learning forecasting applications.

PREFERRED QUALIFICATIONS :

• Experience building complex data visualizations.
• Experience working in command-line Linux environments.
• Strong project management skills.