This is a Fully Remote Job
1. 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.
2. 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.
3. 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
4. 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
5. 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.