Senior Data Scientist

Key Skills

Aartificial intelligence, AWS, AWS Sagemaker, Azure, Generative AI, Health and Safety, Large Language Models - LLMs, Machine learning techniques, Python Programming, QuickSight

Job Description

The Senior Data Scientist will join a highly skilled data science team and work directly with a talented team of software engineers, auditors, product managers and customer experience managers to analyse healthcare data and deliver value for our clients.

Responsibilities

• Design and build data science models and product features to achieve the business goals
• Understand and translate business requirements from internal and external stakeholders into­ data product and features
• Apply state of the art AI/machine learning technics to resolve analytical problems
• Work with engineers to productionize models
• Collaborate with team members to build integrated analytic solutions including data pipelines, modelling and dashboards
• Serve as a subject matter expert in data and analytics in client engagements to help our customers get increased value from our products
• Work with subject matter experts to validate the analytical insights and findings
• Analyse and present actionable insights to internal and external stakeholders to enable informed decision making
• Generate reports and dashboards, to communicate key insights to internal and external stakeholders
• Develop Proof of Concepts and working demos
• Delegating tasks to and mentor junior data scientists

Qualifications

• Tertiary qualification in data science, mathematics, statistics, physics or other related fields
• 5+ years’ experience in a commercial advanced analytics environment.
• Solid skills in building statistical/data science models
• Can create or modify existing AI/ML technics to suit the business needs.
• Hands-on experience in Python
• Excellent communication skills

Desired skills:

• Experience in healthcare industry highly regarded
• GenAI LLM
• Familiarity with Amazon Web Services (AWS) applications (QuickSight, S3, Sagemaker, HealthLake)
• Experience with agile software development

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Cotiviti is an equal employment opportunity employer. Cotiviti recruits, hires and promotes individuals based on their qualifications for a specific job. Cotiviti values its diverse workforce and its selection of employees is made without regard to race, color, creed, sex, age, religion, pregnancy, childbirth or pregnancy-related conditions, national origin, sexual orientation, gender identity, marital status, genetic carrier status, military service, veteran status, disability, or any other category of class protected by federal, state or local laws. All employment decisions and personnel actions, such as hiring, promotion, compensation, benefits, and termination, are and will continue to be administered in accordance with, and to further the principle of, equal employment opportunity.

Pay Transparency Nondiscrimination Provision

Cotiviti will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-I.35(c)