Junior Data Scientist

2 months ago


Ahmedabad, India Infraveo Full time

This is a remote position.

We are seeking a Junior Data Scientist to join our team.
  • As part of a data team design build and improve data science and machine learning models.
  • Collaborate with R&D resources to define and scope data science solutions
  • Manipulate and clean data (exploratory data analysis) build new features (feature engineering) perform feature selection and model selection and implement productionready models.
  • Participate in model and code reviews and contribute to a team consistently shipping new or updated analytics solutions.
  • Define and implement metrics that will track model performance over time to identify risks and opportunities.
  • Communicate results and insights from data science initiatives to stakeholders and other internal/external users and customers.

Requirements
  • Modeling methodology and setting standards for exploration and experimentation. You creatively apply existing methodology to new analytical challenges.
  • Skilled in statistics/machine learning. Python toolkits you may have used recently include stats models scikitlearn or tensorflow.
  • You have demonstrated programming expertise with Python and SQL for ML techniques including feature engineering/selection model selection model tuning and performance measurement.
  • 2 years of experience working in an applied data or analytics position depending on academic background.
  • Demonstrated accomplishments in data science or analytics including: Data wrangling: transformation and cleaning Feature engineering Statistical or ML model implementation.
  • Experience with data engineering and/or collaborating with data engineers.
  • BS or MS degree in Statistics Data Science Economics Computer Science or a related technical field.


Benefits
  • Work Location: Remote
  • 5 days working


A scientist at heart. You are thoughtful and rigorous about modeling methodology and setting standards for exploration and experimentation. You creatively apply existing methodology to new analytical challenges. Skilled in statistics/machine learning. You have applied experience with statistics/machine learning. Python toolkits you may have used recently include stats models, scikit-learn, or tensorflow. You have demonstrated programming expertise with Python and SQL for ML techniques, including feature engineering/selection, model selection, model tuning, and performance measurement. 2+ years of experience working in an applied data or analytics position, depending on academic background. Demonstrated accomplishments in data science or analytics, including: Data wrangling: transformation and cleaning, Feature engineering, Statistical or ML model implementation. Experience with data engineering and/or collaborating with data engineers. BS or MS degree in Statistics, Data Science, Economics, Computer Science, or a related technical field.
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