Data Scientist Commercial Technologies

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques, PyTorch, TensorFlow, Amazon Athena, Algorithms, AWS Sagemaker

Job Description

The Data Scientist is a key role in the transformation of business. They will work closely with business stakeholders to understand their goals and determine how data science can be used to achieve those goals. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.

Responsibilities

• Designing and developing machine learning (ML) and deep learning solutions and systems.
• Using statistical analysis determine which data modeling approach to use and running / training machine learning tests and experiments.
• Mine and analyze large structured and unstructured datasets. Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
• Communicate results and statistical concepts to key business leaders.
• Diagnose business need, analyze business process, data flows, IT / technical artifacts and extract understanding of how the system or business process works as input into projects / solutions.
• Proactively develop, maintain and evangelizes technical knowledge in Machine Learning and adjacent technologies. Keeps up-to-date on current trends and best practices.
• Perform assessments and listen to internal/external customers to understand and anticipate their needs and determine their priorities in the context of the overall enterprise.

Accountabilities in this role:

• Understand and enable Commercial Technology’s business by implementing machine learning solutions and outcomes at the most efficient cost. 
• Ensure effective designs and quality deliverables while implementing appropriate ML algorithms
• Aide adoption of ML solutions within the business by conducting training, coordinating demos.
• Ensure projects are delivered in-line with ML Reference Architecture, road map and to the defined standards and best practices.

Qualifications:

• Recent Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, other related field, preferred. Advanced technical degree is a major plus
• Less than 2 years of experience preferred
• Strong mathematical and statistical skills preferred
• Knowledge or experience with Machine Learning expertise and involvement in data science project or product delivery preferred
• Knowledge or experience with Machine Learning and related technologies such as Tensorflow Python, Torch, Amazon SageMaker, Jupiter Notebooks, preferred
• Understanding of cloud data engineering and integration concepts preferred
• Past experience in the Healthcare industry and knowledge of clinical data preferred
• Agile development skills and experience preferred