We are seeking a highly skilled and motivated data scientist to join our team. The successful candidate will have a strong background in statistics, machine learning, and programming, as well as experience working with large and complex data sets.
Duties/Responsibilities:
Develop and implement data-driven solutions to business problems using statistical analysis, machine learning techniques, and data visualization
Collaborate with cross-functional teams to identify and prioritize business opportunities and data-driven initiatives
Build and maintain predictive models to support decision making and drive business growth
Conduct research and stay up-to-date on the latest trends and techniques in the field of data science
Present findings and recommendations to stakeholders in a clear and concise manner
Required Skills/Qualifications:
Advanced degree in a related field, such as computer science, data science, statistics, or mathematics
Strong programming skills, particularly in Python or R
Experience with machine learning libraries and frameworks, such as scikit-learn or TensorFlow
Experience with machine learning techniques and process
Proficiency with data management and experience working with large and complex data sets
Excellent communication and problem-solving skills
Experience in experiment design, hypothesis testing and causal inference
Passionate about data
Ability to work independently and as part of a team
Ability to communicate effectively with both technical and non-technical stakeholders, and be comfortable working in a fast-paced, constantly evolving environment.
Preferred Qualifications:
Master's degree in a related field
Experience with data visualization tools, such as Tableau or Matplotlib
Experience with natural language processing (NLP) and/or deep learning
Experience working with unstructured data and/or non-traditional data sources
Experience working in a business setting and using data to inform decision-making
Minimum 2 years of hands-on experience in relevant field / 5 years for Senior (Project or business use case)