Hire Bayesian statistics developers remotely within 4 days

Bayesian statistical models are the backbone of many other well-known statistical models, including the Gaussian Process. Bayes' theorem provides a natural and principled way of merging previous information with data, within a solid decision theoretical framework. Therefore, businesses that hire top Bayesian Statistics developers can incorporate past information about a parameter and form a prior distribution for future analysis and move forward to make more data-backed decisions.

The knowledge of Bayesian statistics is an asset for developers, engineers, and data scientists. It gives them a fresh outlook on solving unique problems with dynamic sources of real-world data. This mathematical procedure applies probabilities to statistical problems and provides businesses with the tools to update their opinions with the proof of new data. So for instance, by hiring Bayesian Statistics developers and implementing Bayes’ Theorem and estimated probabilities, companies can better assess systematic changes in interest rates, and drive their financial reserves to take the most advantage.

But it is often difficult to recruit experienced Bayesian Statistics developers as thousands of businesses compete to hire the best Bayesian Statistics developers from a limited pool of skilled professionals. The shortage of experienced developers also means hiring quality Bayesian Statistics developers is a costly and time-consuming affair.

So, what’s the solution? Is it possible to hire cost-effective Bayesian Statistics developers quickly without compromising on quality?

The answer is yes. Turing helps companies in hiring top Bayesian Statistics developers at half the price. We vet the best remote Bayesian Statistics developers after testing their expertise in Bayesian methods, statistical programming languages (like R, Python), Bayesian or probabilistic programming languages (like Stan), relational databases (such as SQL Server, Postgres, Oracle), development of the model specification, implementation of the specification in simulation environments, and verification and validation of models.

We also test them for probabilistic modeling and computation, discrete choice models, machine learning, data mining, optimization, simulation, statistical modeling, and experimental design. We also examine their self-motivation with strong analytical and problem-solving skills as well as interpersonal and communication skills.

Companies can now build a team of the best remote Bayesian Statistics developers in just a few days with Turing. Our AI-powered deep-vetting talent platform leverages global reach to source developers with strong technical and communication skills for rapid business transformation.