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10 Yaam Retail Jobs
Data Scientist
Yaam Retail
posted 3+ weeks ago
Job Role Insights
Key skills for the job
Job Description
- Collect, clean, and preprocess large and diverse datasets.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement machine learning models for tasks such as classification, regression, clustering, and time series forecasting etc
- Evaluate model performance using appropriate metrics and iterate to improve accuracy and reliability.
- Communicate findings and insights effectively through clear visualizations and presentations to both technical and non-technical audiences.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Stay up-to-date with the latest advancements in data science, machine learning, and related technologies.
- Document methodologies, code, and results thoroughly.
- Contribute to the development and improvement of our data science infrastructure and best practices.
- Deep understanding of data science principles and methodologies. A Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field is a plus, but equivalent in-depth knowledge and practical experience will also be considered.
- Proven experience (typically 10+ years) working as a Data Scientist or in a similar role.
- Strong proficiency in programming languages such as Python and R.
- Experience with relevant data science libraries and frameworks (eg, statsmodels, scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Solid understanding of statistical modeling, machine learning algorithms, and their underlying principles.
- Experience with database systems and SQL.
- Excellent data visualization skills using tools such as Matplotlib, Seaborn, PowerBi or Tableau.
- Strong analytical and problem-solving abilities with a keen attention to detail.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly and concisely.
- Ability to work independently and collaboratively within a team environment.
- Experience with cloud computing platforms (eg, AWS, Azure, GCP).
- Familiarity with big data technologies (eg, Spark, Hadoop).
- Experience in JDA or Blue Yonder tools.
- Experience with deploying and monitoring machine learning models in production.
Employment Type: Full Time, Permanent
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