In this position, you will apply advanced statistical methods, machine learning techniques, and robust data analysis to generate actionable insights, create predictive models, and enable impactful business outcomes. This role offers the chance to work with varied datasets, modern cloud platforms, and advanced tools while collaborating across functional areas to tackle sophisticated problems.

Responsibilities

Leverage mathematical, statistical, and machine learning methods to inform strategy and decision-making
Employ tools and frameworks like TensorFlow or PyTorch to develop predictive and prescriptive models
Identify and validate data from internal and external sources to uncover meaningful patterns
Evolve hypotheses, analyze data in analytics sandboxes, and iteratively improve models
Use Python libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and analysis
Collaborate with teams to ensure proper data sourcing, cleaning, and preparation for analysis
Optimize and manage relational datasets using SQL while adhering to governance standards
Present insights through visualizations created in Matplotlib, Seaborn, or Plotly
Align organizational data strategies with industry best practices in data management
Deploy machine learning models to production environments via cloud solutions such as AWS SageMaker and EC2
Work with engineers and stakeholders to create scalable solutions for data-heavy workloads

Requirements

At least 7 years of experience in data science, machine learning, or related domains
Proficiency in Python and libraries like Pandas, NumPy, and Scikit-learn
Knowledge of machine learning frameworks including TensorFlow or PyTorch
Skills in cloud-based tools like AWS, including S3 and SageMaker
Background in big data technologies such as Spark and experience with SQL for relational databases
Familiarity with version control systems such as Git
Understanding of NLP techniques and sentiment analysis systems
Competency in applying data visualization principles with Matplotlib, Seaborn, or Plotly
Background in data governance to ensure compliance and accuracy

Nice to have

Knowledge of Docker for managing containerization and deployments
Background in Snowflake for data warehousing and advanced analytics
Familiarity with tools like Bitbucket, JIRA, and Confluence within the Atlassian suite
Understanding of simulation techniques and scenario-based event processing

We offer