Data Scientist Python R Expertise | 6-7 Yrs

Experience: 6-7Yrs

Location: Bangalore (Local candidates preferred.)

Company: Magellanic Cloud

Mode: Permanent

End Client AMAT

Mode of Interview - Virtual

NP- Immediate & serving only means LWD 15 June 2025 Max)

We are seeking a skilled Data Scientist proficient in Python and R to join our team. The ideal candidate will have extensive experience developing machine learning and statistical models for regression, classification, and time series problems. Additionally, they will have a strong understanding of software engineering principles and the ability to write clear, well-structured, and testable code.

Key Responsibilities:

Develop machine learning and statistical models for various business needs, including regression, classification, and time series analysis.

Implement models using Python and relevant libraries such as scikit-learn, pandas, and numpy.

Apply machine learning techniques such as Linear Regression, Random Forest, Classification, and Ensemble methods.

Convert R code to Python and ensure seamless integration between the two languages.

Utilize R for data manipulation and analysis using tidyverse, dplyr, and data.table.

Optimize and enhance existing R code for performance and scalability.

Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.

Follow best practices in software engineering to produce clean, manageable, and testable code.

Stay updated with the latest industry trends and advancements in data science and machine learning.

Required Skills and Qualifications:

Bachelors or Masters degree in Computer Science, Statistics, Data Science, or a related field.

6+ years of IT experience with a min of 3+ years in Data Science (AI/ML)

Proven experience as a Data Scientist or similar role with hands-on experience in Python and R.

Strong knowledge of machine learning algorithms and statistical modeling techniques.

Proficiency in Python libraries such as scikit-learn, pandas, numpy, and matplotlib.

Expertise in R programming, particularly with tidyverse, dplyr, tidymodels, and data.table.

Experience with relational databases and SQL.

Ability to convert R code to Python efficiently.

Familiarity with software engineering principles and best practices.

Strong problem-solving skills and attention to detail.

Excellent communication and collaboration skills.

Ability to manage multiple projects and meet deadlines.

Preferred Qualifications:

Experience with advanced R programming and code optimization.

Knowledge of additional data science tools and frameworks.