Apply mathematical, statistical, and machine learning techniques to drive insights and support decision-making

Utilize tools and frameworks like TensorFlow or PyTorch for predictive and prescriptive modeling

Identify, validate, and leverage internal and external data sources to uncover patterns and opportunities

Develop and refine hypotheses, exploring data within analytics sandboxes and evolving models over time

Implement data manipulation and analysis using libraries like Pandas, NumPy, and Scikit-learn

Collaborate with broader teams to ensure proper sourcing, cleaning, and preparation of data for analysis

Manage and optimize datasets within relational databases using SQL and appropriate governance practices

Create and present compelling data visualizations using tools such as Matplotlib, Seaborn, or Plotly

Contribute to the organization’s data strategy by ensuring alignment with data management best practices

Deploy machine learning models into production using cloud solutions like Amazon SageMaker and EC2

Coordinate with engineers and stakeholders to implement scalable solutions for data workloads

Minimum 3 years of experience in data science, machine learning, or related fields

Proficiency in Python, with experience in libraries such as Pandas, NumPy, and Scikit-learn

Knowledge of machine learning frameworks like TensorFlow or PyTorch

Skills in cloud platforms like AWS, including tools such as S3 and SageMaker

Experience with big data technologies like Spark, relational databases using SQL, and Jupyter

Familiarity with version control systems including Git

Understanding of natural language processing (NLP) techniques and sentiment analysis methodologies

Qualifications in open-source data science tools, libraries, and frameworks

Exposure to data visualization best practices using Matplotlib, Seaborn, or Plotly

Experience with data governance principles, ensuring compliance and quality

Familiarity with Docker for containerization and deployment workflows

Expertise in Snowflake for advanced analytics and data warehousing

Capability to work with the Atlassian suite, including Bitbucket, JIRA, and Confluence

Understanding of simulation, complex event processing, and scenario-based analysis