Data Scientist | W2 Role

Job Role : Senior Data Scientist

Location : Remote

Duration : 3-6 months contract to hire

Rate Range : $78.08/hr - $85/hr W2

Salary Range : $131,199.84 - $159,801.80

Job purpose:

• This role at is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion,
• Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).
• The Sr. Data Scientist is responsible for modeling complex business problems and discovering business insights through the use of statistical, algorithmic, mining, and visualization techniques. The data scientist contributes to
• Portfolio of products and services, ensuring that business challenges are met with fit for purpose.
• AI-powered solutions.
• The Sr. Data Scientist defines and implements machine learning solutions, leading the development and implementation in accordance with the overall strategy. This role will partner with Data.
• Architecture, AI, Innovation, IT, and Advanced Analytics to define a framework that supports current advanced analytics requirements and future AI-enabled innovations.

Departmental Expectation Of Employee

• Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model
• Acts as a role model within and outside AF.
• Perform duties as workload necessitates.
• Maintains a positive and respectful attitude.
• Communicate regularly with the departmental leader about department issues.
• Demonstrates flexible and efficient time management and ability to prioritize workload.
• Consistently reports to work on time, prepared to perform duties of the position.
• Meets Department productivity standards.

Essential Duties And Responsibilities

• Data Science and Exploration
• Translates business needs into advanced analytics requirements to support the organization and its members.
• Proactively mines data warehouses to identify trends and patterns and generates insights to enhance the experience of our members.
• Performs large-scale experimentation to identify hidden relationships between variables in large datasets.
• Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient.
• Determines requirements that will be used to train and evolve deep learning models and algorithms.
• Develops frameworks and processes to analyze unstructured information to enrich the decision-making capabilities of our members.
• Maintains up-to-date knowledge of machine learning and data analytics tools and techniques.
• Strong knowledge of predictive modeling methodology, acting as a catalyst and mentor in the organization.
• Machine Learning Operations:
• Ensures that AI models are maintained throughout the lifecycle, ensuring proper monitoring and observability across environments.
• Partners with stakeholders to properly implement ModelOps, ensuring consistency and integrity in solutions.
• Establish and implement explainability frameworks, like Model Context Protocols and SHAP.
• Monitor and optimize models for accuracy, performance, and cost efficiency.
• Data Governance and Security
• Works with data governance led to establish and enforce data governance standards, guidelines, processes, and best practices to ensure data quality and integrity.
• Implement data protocols to ensure compliance with regulatory requirements and company policies.

Collaboration and Strategy:

• Provides technical leadership and mentorship to junior data team members.
• Stays updated on data science techniques and best practices, making recommendations for continuous improvement.
• Experienced at leveraging both structured and unstructured data sources.

Additional Duties And Responsibilities

• Support data observability efforts to ensure the data continuum and enforce governance standards.
• Other duties assigned by manager or project needs.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
• Minimum of 8 years of experience in data science, machine learning, data management, data governance, or a related role.
• Experience using statistics and machine learning to solve complex business problems.
• Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages.
• Experience building and deploying predictive models, web scraping, and scalable data pipelines.

Technical Skills:

• Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud).
• Experience with AI tools, such as MS Azure ML, Snowflake CortexAI, Dataiku.
• Strong knowledge of data governance, data security, and compliance practices.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI).

Soft Skills:

• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills to collaborate with cross-functional teams.
• Ability to lead projects and mentor junior staff.
• Auto Insurance claims industry experience preferred.

Regards,

Adam Jones (Azam)

Direct: 551 264 7249

Email: Adam (@) pullskill (dot) com