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Junior Data Scientist

Larsen & Toubro Infotech Limited

This is a Full-time position in New York, NY posted December 11, 2020.

nnRole
– Junior Data Scientistnn nnLocation
– New York, NYnn nnJob Description -nn Develop and promote for advanced analytics frameworks and services that improve business performance within or across multiple domains as part of cross-functional digital product teams.

Drive the adoption of algorithmic decision-making at scale within Group Digital to increase performance of our digital products and effectiveness of our co-workers by actively educating and encouraging fellow team members to prioritize use cases for analytics and automation.

Build software that is scalable, resilient and robust with respect to imperfect input data, minimizing unintended technical errors and system down time and ensuring a pleasant customer experience globally.

Apply and utilize modern software development practices and related technologies, including debugging and version controlling, in order to efficiently deliver flexible digital solutions in close collaboration with others.

Write demanding SQL queries that Extract, Transform and Load data from storage to an appropriate format, using joins, nesting and similar operations as an integral component of data processing pipelines.

Ensure that solutions fulfill and adapt to actual business needs to continuously generate value for clients by working closely together with co-workers from different functions.

Promote and apply agile ways of working in relation to data science, including rapid prototyping, continuous deployment, and performance measurement by default in order to maximize key metrics and ensure that we realize the OKRs set by the Lead Data Scientist.

Formal qualifications (BSc, MSc, PhD) in computer science, econometrics, engineering, mathematics, or equivalent.

Minimum 2 years of professional experience as a (Junior) Data Analyst or (Junior) Data Scientist.

Broad knowledge of data processing for large datasets.

Demonstrable experience working in Agile or DevOps communities of engineering practice Preferred: Familiarity with cloud computing environments, e.g.

Amazon Web Services or Google Cloud Platform.

– provided by Dice

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