Data Scientist

Job Duties/Responsibilities

• Ingest, organize, and analyze data from various sources (e.g. CSV, relational database)
• Scope unstructured problems or messy data for tractable insights
• Identify candidate statistical or machine learning solutions and test their efficacy
• Communicate technical work and findings both verbally and through written reports and visualizations
• Lead discussions and assess the feasibility of AI/ML solutions for business processes and outcomes
• Work in a collaborative environment to brainstorm, design, implement and deliver solutions to challenging problems
• Create comprehensive analytical solutions, from data gathering to display; assist in the construction of data engineering pipelines

Qualifications and Skills

• 5 Years or more of relevant industry work experience
• Excellent understanding of statistical or machine learning techniques, such as clustering, regression, time series forecasting, tree-based methods, sampling methods
• Demonstrated ability using scientific computing libraries, such as NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, and Plotly
• Programming proficiency in Python or R
• Experience in database interrogation and analysis tools, such as Hadoop, SQL and Spark
• Strong oral and verbal communication and presentation skills

Preferred Requirements

• Master’s or PhD degree in a quantitative discipline
• Strong statistical knowledge and experience with hypothesis testing
• Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models
• Experience with TensorFlow, Keras, or PyTorch
• Experience with version control systems (e.g. Git flow)
• Experience working on AWS or Azure cloud based data science tools (e.g. SageMaker, Databricks)
• Familiarity with BI and AI tools such as Tableau and Dataiku
• Research experience with high impact publications
• Experience working with cross-functional teams and/or customer facing work