Data Scientist / Machine Learning Engineer

Duration: 6 months to begin with

Hybrid position: I would prefer this person to come in the office once a week preferably on Tuesday.

Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models. Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams within major health care payer and its subsidiaries.

Required Skills and Experience (Top 3)

• Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
• Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
• Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences.

Programming: Proficient in Python

Experience: Minimum 2 years of relevant professional experience

Preferred Skills and Experience

• Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
• Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
• Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
• Prior experience in the healthcare industry preferred.

Education/Certifications

• Bachelor's degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required. Master's in related field is preferred.

Company Description

Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.

At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Kyyba is an Equal Opportunity Employer.

Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other b