‘Rent’ the best

certace is first and foremost a platform through which data scientists shall get the possibility to work on interesting data problems to help clients solve their most complex business challenges. The data scientists in the certace network all had to pass the multi-dimensional assessment.

‘Why does it make sense to work with independent data scientists?’ you might ask. The first reason is true for almost any company: it is less risky to work with freelancers than to hire permanent employees. But, for data scientists, there is a much stronger second reason: freelance talent is less prejudiced towards data and usually more up to date on the newest methods/learnings that are discussed in open source communities.

Meet some independent data scientists from the certace network

Kevin

Kevin has almost 20 years of consulting experience, 9 of which as a freelancer. His spike lies within litigation, quantifying effects that have been triggered by spe-cific events. He has been exposed to many industries, such as finance, real estate and retail to name a few. Kevin holds Master of Business Administration (MBA), The University of Texas at Austin - Red McCombs School of Business and a Bachelor in Mathematics-Economics, Brown University, USA

Hamed

Hamed is a neuroscientist with a focus on Machine Learning, Neuroeconomics, 3rd Generation Neural Networks, and Olfactory System. Years of interdisciplinary research equi-pped him with a multi-dimensional perspective. He believes that any descriptive/predictive mode must be accompanied by a mechanistic model, embracing the domain knowledge.
He holds a PhD in Statistical and Biological Physics from SISSA, Trieste, Italy.

Chris

Chris is an analytics expert specializing in the areas of price optimization, forecasting, and supply chain optimization.  He has over 20 years of experience as a consultant and project manager helping leading businesses to improve performance, increase profits, and data-driven decision making. He is a hands-on modeling expert with an extensive background in statistics, data science, operations research, and management sci-ence, and is also a McKinsey-trained consultant with broad experience helping dozens of companies with both strategic and analytical issues.

Elena

Elena is an expert in time series analysis. She theorized, developed and implemented algo-rithms for the detection of transient signals and led the development and embedding of machine-learning based solutions for transient signals classification. Elena is passionate about machine learning and loves to engage in Kaggle competitions, gaining the title of master. She holds a PhD in Physics from the University of Pisa, Italy.

Alvaro


Alvaro is a Data Scientist with background in Applied Mathematics and Economics and more than 10 years of experience in analytical roles. He is the founder of a quantitative consulting company where he has been using Machine Learning and quantitative models to solve problems in many fields, primarily on Higher Education and the Public Sector. Previously he worked as Economic Analyst in the Central Bank of Guatemala. He holds a M.S. in Mathematics from Ohio University.

Jeff

Jeff is very experienced with a vast family of problems within NLP and Artificial Intelligence. Being confronted with both, practical and abstract data science problems like time series analysis; classification and regression are no pro-blem for him. Having managed a team of 15 PhD Data Scientists, Jeff also distingued himself as a leader among his peers. He holds a PhD in Mathematics from New York University.

Konrad


Konrad is a data enabler with his strength coming from his profound understanding of statistics. Having a PhD in Mathematics, as well as being a quantitative data consultant fro more than 10 years, he offers both, a strong academic background and excellent communicaton skills. He can lead entire projects from scoping to delivery, especially related to financial markets, commodities or internet businesses. 

Are you ready to become a certace data scientist? Give it a go here.

 

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