Sigmaways partnered with pioneering start-ups, innovative enterprises, and the world’s largest technology brands. We have utilized our fine-tuned product engineering processes to develop best-in-class solutions for customers in technology, e-commerce, retail, financial services, banking, and consumer products sectors across North America, Europe, and Asia.

Sigmaways

* We are looking for a Senior Data Scientist to join us in developing new revolutionizing ways to build products that support strategic decision making and performance management. We are using cutting edge methodologies within cross-functional teams to keep leading in an exciting and fast-moving environment.
* You will work in Data & Analytics together with other Data Scientists, Data Engineers, Data Analysts, Machine Learning Engineers, Data Stewards and Data Architects. Together you will be joining cross-functional teams consisting of colleagues from Technology, Product and Design from the business domain of Business Support. We enable co-workers in over 20 countries to simulate, optimize & evaluate their delivery offerings to maximize sales and/or profit.

 

We would like your expertise to help us answer business questions like:

 

* What will the experience of tomorrow look like?
* How should we price our services to help us reach our financial goals and attract new customers?
* How can we optimally distribute budget into our operations and developments?

 

Requirements:

 

* Solid understanding of machine learning, statistical analysis, and probability theory.
* Broad knowledge of collaborative software engineering practices (Git, Agile, DevOps)
* Proficiency in Python, R, or similar languages commonly used in data science.
* Experience with data manipulation tools (e.g., SQL, pandas) and visualization platforms (e.g., Tableau, Power BI, matplotlib).
* Strong business acumen and the ability to see the “big picture” behind the data.
* Deep curiosity and a creative approach to solving complex business problems.
* Excellent communication skills, with the ability to tell stories with data.
* Broad knowledge of cross-functional digital product development principles and the importance of rapid validated learning cycles to optimize performance long term
* An educational background in engineering, computer science, statistics, econometrics, or a related field.

 

What 3 most important:

 

* Python
* Machine learning/statistical analysis
* Data manipulation