Best Practices_Avinash_Ecom Express

Work set-up: 
Full Remote
Contract: 
Full time
Work from: 
India

Offer summary

Qualifications:

Bachelor's or higher degree in Engineering, with a preference for Masters or PhD., Strong background in Data Science, Computer Science, Operations Research, and Statistics., Proficiency in Python and R, with knowledge of OOPS concepts., Experience with AI solution development, deployment, and working with large datasets..

Key responsibilities:

  • Develop and implement machine learning models to meet business objectives.
  • Collaborate with cross-functional teams to deploy data science solutions.
  • Perform data analysis, wrangling, and feature engineering on datasets.
  • Lead end-to-end data science initiatives to improve organizational metrics.

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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
 LeadCollaborate with a team of data scientists in developing and delivering machine
learning models for production setting
 Improve key organizational metrics through developing datascience 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 endtoend 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:
 BETech in Engineering, MastersPhD candidates preferred
 Strong background in strong in Data Science, Computer Science, Operations Research &
Statistics concepts
 Deep understanding of statistical modeling, machinelearning approaches & deeplearning
 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 usecases 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 DjangoFlask

Required profile

Experience

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

Hard Skills

Data SciencePython (Programming Language)Statistical ModelingMachine LearningNatural Language Processing (NLP)Video AnalyticsEngineering OptimizationData WranglingFlask (Web Framework)Artificial IntelligenceDeep LearningApplication Programming Interface (API)R (Programming Language)Exploratory Data AnalysisBig DataApache SparkApache HadoopDjango (Web Framework)Stakeholder CommunicationsProject Collaboration

Other Skills

  • Communication
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