Assist in developing and deploying machine learning models and data-driven solutions
Analyze data sets to provide business insights and improve product performance
Build and maintain data pipelines using big data tools and frameworks under guidance
Collaborate closely with the Engineers, Analysts, and Product teams to deliver results
Perform data cleaning, feature engineering, and model evaluation
Support the testing and validation of models to ensure their accuracy and reliability
Continuously learn new data science techniques and technologies
Participate in team discussions and contribute to process improvements
At least 3 years of experience applying machine learning, statistical modeling, and data mining techniques to real-world business problems
Proficient in Python or R
Strong SQL skills and experience with big data tools (Hive, Spark)
Hands-on experience with PySpark or SparkR
At least Upper-Intermediate level of English
PERSONAL PROFILE
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
Detail-oriented, able to prioritize and meet deadlines
Strong problem-solving and decision-making skills, with a focus on driving results and meeting deadlines
Self-motivated, adaptable, and eager to learn new technologies and frameworks
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Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Scientist Q&A's