Senior Data Scientist

The Gig

OGRE AI is a ML-based tech company striving to transform the utilities sector by providing reliable production and consumption forecasts to all key utility fields (energy, gas, heating and water). Currently, several major players on the energy market are leveraging our ML algorithms in order to optimize their acquisitions. Our final goal is to make the market as efficient as possible, in the meantime reducing costs for the final consumer, reducing waste and lowering carbon emissions.


Our tech team is composed of very passionate engineers, striving to create a scalable and user-friendly platform. We all come from strong academic backgrounds (some of us have carried research at Oxford, Cambridge and Berkeley) and have expertise in complementary fields, to develop Ogre as a well-rounded product.



We asked our colleagues to describe 3 things they like most about working at Ogre – the most recurrent aspects were:

1. the work, which is participatory and applied, with a healthy culture of collaboration and orientation towards problem-solving;

2. the clear allocation of tasks and responsibilities, and

3. being able to work on a technology of great impact for the future, flexibly.

We are looking to expand our team by bringing a new experienced and self-driven developer to build the Ogre forecasting platform together with us.



We value an engineering, hands-on spirit, above anything else.

We offer continuous opportunities for building quality software in the dynamic environment fostered by the team.



We are flexible with the working schedule & also with working remotely. Currently, we have an ultra-modern office in Bucharest, in one of the Globalworth buildings.

We work with Python for our backend and our ML side and with ReactJS on the frontend. The chosen architecture solution is based on micro-services and we are using AWS cloud to achieve high standards of responsiveness, reliability and scalability.

Benefits

• Flexible working hours

• Attractive remuneration

• Permanent contract

• High-tech hardware

• Friendly and supportive team

What will you be doing?

• Be extremely impactful in this high-leverage role

• Work on large, complex, and varied data sets

• Use variety of methods to develop and test algorithms

• Design and implement internal tools and processes to operationalize data sciencebest practices within our products

• Foster collaborative relationships with product, business and engineering teams

What the ideal candidate should bring:

• Have strong intuition and deep thinking with data sets - designs new predictive signals

• Demonstrate strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal

• Be familiar with statistical and machine learning techniques and knows when and how to apply them; will seek out and learn new methods to better solve problems

• Have strong, demonstrable experience in developing statistical/machine learning models

• Have significant experience with a range of techniques from statistical modeling to deep learning, from linear models to neural networks

• Have high proficiency in Python and SQL

• Have good knowledge of data science libraries, toolkits and frameworks

• Natural problem solver, driven, curious and creative

• Have a deep analytical mindset

• Excellent collaborations and communication skills

Qualifications:

• Bachelor’s degree in computer science, information systems or related field with good experience in IT.