Junior Data Scientist
Infraveo Technologies
Date: 4 hours ago
City: Pune, Maharashtra
Salary:
₹25,000
-
₹50,000
per month
Contract type: Contractor
Remote

Skills:
Python programming, Statistical analysis, Data visualization, Machine learning, SQL database management, Data cleaning, Critical thinking, Problem-solving,
We are seeking a Junior Data Scientist to join our team.
Key Responsibilities
Python programming, Statistical analysis, Data visualization, Machine learning, SQL database management, Data cleaning, Critical thinking, Problem-solving,
We are seeking a Junior Data Scientist to join our team.
Key Responsibilities
- 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 production-ready 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.
- 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.
- Work Location: Remote
- 5 days working
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