Data Scientist

Venture Smarter

Singapore

5-7 Years

Save

Posted 2 days ago
Be among the first 10 applicants

Early Applicant

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