Data Scientist II

About the role

This is a Fully Remote Job

• About Our Client:

The organization operates within the data product and enterprise solutions space, addressing challenges related to transforming complex business problems into scalable, data-driven solutions. It focuses on designing and deploying machine learning models and data products that support enterprise initiatives, leveraging cloud platforms like Azure and AWS to ensure reliable and performant production systems.

• About the Opportunity:

The Data Scientist II is responsible for designing, building, and deploying machine learning models and data products that contribute to enterprise objectives. This role translates complex business needs into scalable, production-ready data science solutions, collaborating with product managers, engineering teams, and business stakeholders to ensure alignment and operational effectiveness.

• Responsibilities:

Analyze internal data to optimize product development and business strategies

Develop experimental frameworks and tools for data collection automation

Create custom data models and algorithms

Design, train, and deploy machine learning models and data products

Translate business requirements into scalable modeling approaches

Perform feature engineering and exploratory data analysis

Evaluate models using techniques such as classification, regression, and NLP

Design model outputs, APIs, and integration points for downstream systems

Support AI use cases involving LLMs and retrieval-augmented generation

Integrate models into production environments via APIs, pipelines, and cloud services

Manage model deployment and lifecycle within cloud ML platforms

Conduct model validation, testing, and documentation

Participate in technical design and architecture discussions

Adhere to software development lifecycle processes including version control and testing

Communicate model details effectively to diverse stakeholders

Develop A/B testing frameworks for model quality assessment

Perform additional duties as assigned

• Requirements:

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field; Master’s preferred

2 to 5+ years experience in data science or machine learning roles

Proven experience deploying machine learning models in production

Familiarity with cloud ML platforms such as Azure Machine Learning or AWS SageMaker

Knowledge of AI platforms like Azure OpenAI or AWS Bedrock preferred

Strong foundation in machine learning, statistical modeling, and data science techniques

Experience with modern AI methods including NLP, LLMs, and retrieval-augmented generation

Proficiency in Python and SQL

Experience with data pipelines, APIs, and integration patterns

Skilled in problem-solving and communicating complex technical concepts

Familiarity with enterprise software environments and software development lifecycle practices preferred

• Pay Range and Compensation Package:

Pay Range: $82,574 – $127,490

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.