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Best Practices_Avinash_Ecom Express

Remote: 
Full Remote
Contract: 
Full time
Work from: 
India

Offer summary

Qualifications:

BE/Tech in Engineering, Masters/PhD candidates preferred., Strong background in Data Science, Computer Science, Operations Research & Statistics., Proficient in Python & R, with sound knowledge of OOPS concepts., Excellent understanding of statistics, probability, and linear algebra..

Key responsibilities:

  • Develop models to achieve business objectives and track their progress.
  • Lead a team in delivering machine learning models for production settings.
  • Collaborate with various teams to create analytics solutions that enhance business performance.
  • Maintain documentation of data science initiatives and ensure best practices are followed.

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CodersBrain SME https://www.codersbrain.com/
201 - 500 Employees
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Job description

JOB RESPOSIBILITIES:
 Understanding business objectives and developing models that help to achieve them, along
with metrics to track their progress
 Analyzing the ML algorithms that could be used to solve a given problem and ranking them
by their success probability
 Lead/Collaborate with a team of data scientists in developing and delivering machine
learning models for production setting
 Improve key organizational metrics through developing data-science based solutions
 Perform data wrangling and due diligence activities on data quality
 Supervising the data acquisition & labeling process if more data is needed
 Performing Exploratory Data Analysis (EDA), defining the preprocessing or feature
engineering to be done on a given dataset, developing Machine Learning models, validating
models, deployment, etc.
 Collaborate with the application development team for deploying the models
 Proactively drive impact to business by owning the data science initiatives end-to-end and
collaborating with other stakeholders
 Collaborate with the Operations, Network, Control Tower and Business Analysis team to
develop cutting edge analytics solutions that improve the business
 Maintain thorough and comprehensive documentation of data science initiatives
 Develop robust work products by following best practices through all stages of
development, testing & deployment



ELIGIBILITY:
 BE/Tech in Engineering, Masters/PhD candidates preferred
 Strong background in strong in Data Science, Computer Science, Operations Research &
Statistics concepts
 Deep understanding of statistical modeling, machine-learning approaches & deep-learning
 Experience in optimization algorithms, or experience working with unstructured datasets
for Natural Language Processing or Image Analytics would be preferred
 Extensive experience solving analytical problems using quantitative approaches for large
datasets. Experience in using Big Data platforms, Spark & Hadoop platform would be
preferred
 Proficient in Python & R, with sound knowledge of OOPS concepts
 Experience in AI solution development and / or integration
 Excellent communication skills and ability to effectively manage stakeholders
 Experience with working on a variety of data science use-cases across multiple domains
 Excellent understanding of statistics, probability, linear algebra and other mathematical
concepts that supports modern ML and AI concepts and should be able to optimize AI/ ML
outcomes
 Experience with REST APIs, Python Django/Flask

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Machine LearningPython (Programming Language)Statistical ModelingData ScienceNatural Language Processing (NLP)Video AnalyticsEngineering OptimizationData WranglingAnalyticsArtificial IntelligenceDeep LearningApplication Programming Interface (API)R (Programming Language)Flask (Web Framework)Big DataApache SparkApache HadoopDjango (Web Framework)

Other Skills

  • Communication
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