What Is The Hiring Process For Data Scientists At Blackhawk Network

What Is The Hiring Process For Data Scientists At Blackhawk Network

The hiring process for data scientists at Blackhawk comprises multiple rounds of technical interviews, starting with an exploratory discussion round where they assess the candidate's interest and understanding in data science.

Blackhawk Network (BHN), a global leader in the branded payments space, recently launched Indian Strategic Development Centre in Bengaluru and is aggressively looking to on-board data scientists and product engineers. We got in touch with Radhakrishna Venketeshwaran, Vice President – Head of Strategic Development Centre, Product & Engineering, BHN, to deep dive into the company’s hiring strategy and hiring process for data scientists.

With a focus on building a product line related to its core expertise in finance, the company is looking to develop a full-fledged and sustainable analytics team for their India Strategic Development Centre. 

Knowledge & Skill Sets While Recruiting Data Scientists

To make it into the BHN data science team, prospective candidates should have deep data expertise in areas such as predictive modelling, statistical modelling, multivariate calculus and data wrangling. They should also know languages such as Python and R, along with expertise in data visualisation. 

“Regardless of background, they should have sufficient experience and understanding of business challenges, creating some valuable and actionable insights from the data, as well as communicating their findings to the relevant teams. They should have a strong foundation in probabilistic theory, stochastic calculus, and overall statistics,” said Venketeshwaran. He further added that candidates who have worked independently on original research have the upper hand during the recruitment process, especially for senior roles.  “We are particularly looking for seasoned professionals who possess the ability to operate independently. However, candidates should have a thorough understanding of the system, and by looking at our data problems, they should be able to guide us with a possible solution. Thereafter, we will provide them with the right engineering support to evolve those ideas and convert them into business solutions,” he explainss

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