Data Scientist
LingaroPhilippines, PHWork on end‑to‑end classification and forecasting use cases, including problem framing, data preparation, model development, evaluation, and basic deployment support (e.Explore and clean data; perf... Show more
Data ScientistVenture Smarter • Philippines
Data Scientist
Venture Smarter • Philippines
7 days ago
Job description
Venture Smarter has been featured in media outlets such as CBS News, Digital Journal, and Go Banking Rates. Check us out – you’ll know we’re the place to be.
What the job entails:
- Collect, clean, and preprocess data from various sources, such as databases, APIs, web scraping, or surveys
- Explore and analyze data to discover patterns, trends, and anomalies, and generate hypotheses and questions
- Build and test predictive models and machine learning algorithms, using tools such as TensorFlow, PyTorch, or Scikit-learn
- Evaluate and optimize the performance and accuracy of the models and algorithms, and fine-tune the parameters and features
- Deploy and integrate the models and algorithms into production systems and applications, using tools such as Flask, Docker, or Kubernetes
- Create and deliver data products and solutions, such as dashboards, reports, and visualizations, using tools such as Plotly, D3.js, or Shiny
- Communicate and explain complex data and findings to various stakeholders and audiences, using clear and compelling language and visuals
- Conduct research and experiments on new and emerging data science, machine learning, and artificial intelligence techniques and technologies, and apply them to business problems and opportunities
Job Requirements:
- Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; or equivalent work experience
- Minimum of 5 years of experience in data science, machine learning, or a similar role, preferably in a tech or consulting industry
- Expertise in data science, machine learning, and artificial intelligence concepts, methods, and techniques, such as regression, classification, clustering, natural language processing, computer vision, or deep learning
- Proficient in programming languages and frameworks, such as Python, R, Java, or C++
- Proficient in data analysis and manipulation tools and libraries, such as SQL, Pandas, or NumPy
- Proficient in machine learning and deep learning tools and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras
- Proficient in data visualization and presentation tools and libraries, as Plotly, D3.js, Shiny, or Matplotlib
- Excellent communication, presentation, and storytelling skills, with the ability to communicate effectively with diverse stakeholders and audiences
- Strong analytical, problem-solving, and creative thinking skills, with the ability to use data and logic to support decisions and recommendations
- Ability to work in a fast-paced, dynamic, and innovative environment, and manage multiple projects and deadlines
- Curiosity, passion, and enthusiasm for data science, machine learning, and artificial intelligence, and their applications and implications
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Data Scientist • Philippines
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