Predictive Analytics Professional

Há 5 dias


Lisboa, Lisboa, Portugal Phiture Tempo inteiro

Data Science at Phiture
At Phiture, we believe in harnessing the power of data science to drive business success. As a Data Scientist, you will play a pivotal role in developing and implementing AI models and algorithms to address complex business needs. Your responsibilities include:
• Analyzing and interpreting complex datasets to extract meaningful insights and provide data-driven recommendations
• Collaborating with multidisciplinary teams to design and implement statistical models and machine learning algorithms
• Leveraging big data technologies and distributed computing frameworks to process and analyze large volumes of data
• Developing and deploying predictive models and algorithms in real-world production environments
• Conducting comprehensive exploratory data analysis, feature engineering, and model validation
• Effectively communicating findings and insights to both technical and non-technical stakeholders

Your Skills and Qualifications
To succeed in this role, you should have 2 or more years of experience in data science roles with a focus on statistical modeling, machine learning, and predictive analytics. Proficiency in programming languages, including SQL, Python, and distributed/cloud processing framework such as Pyspark is required. Familiarity with advanced analytics libraries/frameworks such as Tensorflow, Keras, PyTorch, Scikit-learn is also necessary. You should have a robust understanding of statistical analysis, hypothesis testing, and various machine learning techniques. Hands-on experience with data visualization tools and libraries such as Seaborn, Matplotlib, or Plotly is essential. Proven ability to work with large datasets and experience in distributed computing frameworks, either on-premises or in the cloud, is also desirable. Excellent communication skills, enabling effective collaboration within cross-functional teams, are a must. Analytical mindset, attention to detail, and strong problem-solving skills for addressing complex data challenges are required.



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