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22/03 Prerna
Talent Acquisition Associate at Simplilearn Solutions Pvt. Ltd

Views:1129 Applications:191 Rec. Actions:Recruiter Actions:51

Simplilearn - Data Scientist (2-6 yrs)

Bangalore Job Code: 1236943

At Simplilearn, we are extremely data-driven which have helped us grow manifolds in the last 12 years. Our analytics & data science team is composed of talented and driven problem-solvers. The team uses structured problem solving approaches along with a wide range of statistical / machine learning / operations research techniques to create productized solutions for business teams to consume. In essence, this team is central to most decision making in the organization and works on data problems across the spectrum.

What You'll Do

- Partners with analytics & product teams to understand business problems and translate them into identifiable machine learning problems which can be delivered as machine learning solutions

- Work across the spectrum of ML modeling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem.

- Come up with efficient, modular and scalable solutions for business and technical problems. Architect and build near real-time (low latency) infrastructure for segmentation, lead scoring, engagement prediction etc.

- Utilize data visualization tools to deliver insights to product managers and present technical solutions to a non-technical audience in a simple and clear manner.

- Demonstrate a basic level of understanding of the full technology stack and understand how your products interact with all areas of the business.

Preferred Qualifications

- At least 3+ years of hands-on experience in a Data science role

- Experience with the use of a wide array of algorithms and data structures

- Experience working with Python

- Work with cross functional teams spanning across business, product, growth, data analysts & data engineering

- Exceptional communication, collaboration and ability to evangelize the product or feature

- Strong understanding and demonstrated experience in analytics, algorithms and ML

Women-friendly workplace:

Maternity and Paternity Benefits

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