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Data Scientist

Also known as Computer Research Scientist

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how to select the right Data Scientist

Selecting the Right Data Scientists

Hiring is one of the toughest challenges any company can face, either large enterprises or new startups. There is a great deal of know-how kind of experience when hiring a Data Scientist, not all companies have the right processes that can warrant best hires.

At SupportFinity, we streamlined our processes and in-house standards to make sure of having one of the top world-class hiring processes. The magic mix of skills ingredients is what separates a great hire from a not-so-good one. We came to this conclusion through consulting top technical and HR experts in addition to our years of work and exposure with most sophisticated projects across almost all tech verticals and areas of expertise. So you get one of the best recruitment processes to hire a Data Scientist.

As we have created and crafted a unique method of teams’ customization, we have also perfected our signature model of matching the right skills for our customers to hire either one Data Scientist or a team of Data Scientists. We have a long lasting belief in the power of data analytics in creating unmatchable results, thus, we apply our analytical models on our hiring process same as we do in our business model.

Data Scientist Job Description Template

Data Scientist

AKA: Computer Research Scientist

The Data scientist is someone who makes value out of data. The Data scientist duties typically includes creating various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. The Data Scientist's role should also be able to perform statistical analysis.

  • The Data Scientist develops software for a production cloud-based data management project.
  • The Data Scientist Identifies trends and relationships within data.
  • The Data Scientist uses trend data to improve application performance and business operations.
  • The Data Scientist contributes to setup of build and development tools.
  • Contributes to algorithm tuning and development.
  • Developing strategies to optimize data and search.
  • Devises strategy for configuring application recommendation engines.
  • Works closely with Management and Business development team. .

  • Excellent written and oral communication and interpersonal skills.
  • Good applied statistics skills.
  • Experience with common data science toolkits.
  • Excellent understanding of machine learning techniques and algorithms
  • Scripting and programming skills at least one language.
  • Experience in translating requirements to design as well as understanding of how metadata plays from the end use.
  • Has experience in leading teams, someone who has extensive work experience in and end user access.
  • Has prior experience with data modelling.

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Skills Matrix at SupportFinity

These are sets of the must have skills that we care about and put as top requirements needed for hiring first class Data Scientist.

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Data Science
Language aptitute metric at SupportFinity
Language Aptitude
We receive requests of hiring from candidates among more than 100 countries. As we bring skills from each and every place in the world, we make sure we have the right match of language proficiency with our clients' requirements. Your Data Scientist or team of Data Scientists will have the needed ...see more
Communication Quality metric at SupportFinity
Communication Quality
The next level of screening we perform at SupportFinity is the communication quality, in this stage we make sure that the Data Scientist can deliver high quality of communication; especially on the technical aspects of the job. We conduct our assessments to cover multiple aspects of communication ...see more
Personality tests at SupportFinity
Personality Tests
Personality tests at SupportFinity
Technical Excellence
Samy, Customer Support Assistant from SupportFinity

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