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Capgemini
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
Capegemini - Data Scientist - Python/Pandas (6-14 yrs)
Capgemini
posted 16hr ago
Flexible timing
Key skills for the job
Data Scientist
Exp : 6-14 Years
I. Proficiency in programming languages like Python
II. Skills in handling and analysing large datasets, including data cleaning, wrangling, transformation, and exploratory data analysis (EDA) using tools like pandas.
III. Knowledge of statistical concepts such as hypothesis testing, regression analysis, ANOVA, experimental design, and probability theory.
IV. Understanding machine learning algorithms, supervised and unsupervised learning, feature engineering, model selection and evaluation, and hyperparameter tuning is essential, with libraries like scikit-learn, TensorFlow, or PyTorch commonly used. Knowledge of YOLO is desirable
V. Data visualisation skills using libraries like Matplotlib, Seaborn, or ggplot
VI. Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed databases enables the processing and analysis of large-scale datasets.
VII. Proficiency in SQL and database management
VIII. Knowledge of data engineering concepts, including data pipelines, integration, warehousing, and architecture, is beneficial.
IX. Cloud computing platforms (Azure) and services like Azure Machine Learning can be advantageous.
X. Proficiency in version control systems like Git is crucial for effective collaboration and code management.
Functional Areas: Other
Read full job description6-9 Yrs