Data Scientist

AI overview

Contribute to innovative data-driven solutions by developing machine learning models and collaborating with cross-functional teams to enhance product performance.
  • 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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